"...distillation/scripts/extract_distilbert.py" did not exist on "81d6841b4be25a164235975e5ebdcf99d7a26633"
__init__.py 266 KB
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# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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# When adding a new object to this init, remember to add it twice: once inside the `_import_structure` dictionary and
# once inside the `if TYPE_CHECKING` branch. The `TYPE_CHECKING` should have import statements as usual, but they are
# only there for type checking. The `_import_structure` is a dictionary submodule to list of object names, and is used
# to defer the actual importing for when the objects are requested. This way `import transformers` provides the names
# in the namespace without actually importing anything (and especially none of the backends).

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__version__ = "4.30.0.dev0"
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from typing import TYPE_CHECKING
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# Check the dependencies satisfy the minimal versions required.
from . import dependency_versions_check
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from .utils import (
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    OptionalDependencyNotAvailable,
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    _LazyModule,
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    is_bitsandbytes_available,
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    is_flax_available,
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    is_keras_nlp_available,
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    is_sentencepiece_available,
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    is_speech_available,
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    is_tensorflow_text_available,
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    is_tf_available,
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    is_timm_available,
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    is_tokenizers_available,
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    is_torch_available,
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    is_torchvision_available,
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    is_vision_available,
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    logging,
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)
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logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
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# Base objects, independent of any specific backend
_import_structure = {
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    "audio_utils": [],
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    "benchmark": [],
    "commands": [],
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    "configuration_utils": ["PretrainedConfig"],
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    "convert_graph_to_onnx": [],
    "convert_slow_tokenizers_checkpoints_to_fast": [],
    "convert_tf_hub_seq_to_seq_bert_to_pytorch": [],
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    "data": [
        "DataProcessor",
        "InputExample",
        "InputFeatures",
        "SingleSentenceClassificationProcessor",
        "SquadExample",
        "SquadFeatures",
        "SquadV1Processor",
        "SquadV2Processor",
        "glue_compute_metrics",
        "glue_convert_examples_to_features",
        "glue_output_modes",
        "glue_processors",
        "glue_tasks_num_labels",
        "squad_convert_examples_to_features",
        "xnli_compute_metrics",
        "xnli_output_modes",
        "xnli_processors",
        "xnli_tasks_num_labels",
    ],
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    "data.data_collator": [
        "DataCollator",
        "DataCollatorForLanguageModeling",
        "DataCollatorForPermutationLanguageModeling",
        "DataCollatorForSeq2Seq",
        "DataCollatorForSOP",
        "DataCollatorForTokenClassification",
        "DataCollatorForWholeWordMask",
        "DataCollatorWithPadding",
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        "DefaultDataCollator",
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        "default_data_collator",
    ],
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    "data.metrics": [],
    "data.processors": [],
    "debug_utils": [],
    "dependency_versions_check": [],
    "dependency_versions_table": [],
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    "dynamic_module_utils": [],
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    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
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    "feature_extraction_utils": ["BatchFeature", "FeatureExtractionMixin"],
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    "file_utils": [],
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    "generation": ["GenerationConfig", "TextIteratorStreamer", "TextStreamer"],
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    "hf_argparser": ["HfArgumentParser"],
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    "image_transforms": [],
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    "integrations": [
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        "is_clearml_available",
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        "is_comet_available",
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        "is_neptune_available",
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        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
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        "is_sigopt_available",
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        "is_tensorboard_available",
        "is_wandb_available",
    ],
    "modelcard": ["ModelCard"],
    "modeling_tf_pytorch_utils": [
        "convert_tf_weight_name_to_pt_weight_name",
        "load_pytorch_checkpoint_in_tf2_model",
        "load_pytorch_model_in_tf2_model",
        "load_pytorch_weights_in_tf2_model",
        "load_tf2_checkpoint_in_pytorch_model",
        "load_tf2_model_in_pytorch_model",
        "load_tf2_weights_in_pytorch_model",
    ],
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    "models": [],
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    # Models
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    "models.albert": ["ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "AlbertConfig"],
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    "models.align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignProcessor",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
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    "models.altclip": [
        "ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AltCLIPConfig",
        "AltCLIPProcessor",
        "AltCLIPTextConfig",
        "AltCLIPVisionConfig",
    ],
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    "models.audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ],
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    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
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        "FEATURE_EXTRACTOR_MAPPING",
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        "IMAGE_PROCESSOR_MAPPING",
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        "MODEL_NAMES_MAPPING",
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        "PROCESSOR_MAPPING",
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        "TOKENIZER_MAPPING",
        "AutoConfig",
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        "AutoFeatureExtractor",
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        "AutoImageProcessor",
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        "AutoProcessor",
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        "AutoTokenizer",
    ],
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    "models.autoformer": [
        "AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AutoformerConfig",
    ],
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    "models.bart": ["BartConfig", "BartTokenizer"],
    "models.barthez": [],
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    "models.bartpho": [],
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    "models.beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig"],
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    "models.bert": [
        "BERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BasicTokenizer",
        "BertConfig",
        "BertTokenizer",
        "WordpieceTokenizer",
    ],
    "models.bert_generation": ["BertGenerationConfig"],
    "models.bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"],
    "models.bertweet": ["BertweetTokenizer"],
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    "models.big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
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    "models.bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
    ],
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    "models.biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig", "BioGptTokenizer"],
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    "models.bit": ["BIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BitConfig"],
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    "models.blenderbot": ["BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BlenderbotConfig", "BlenderbotTokenizer"],
    "models.blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallTokenizer",
    ],
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    "models.blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipProcessor",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
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    "models.blip_2": [
        "BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Blip2Config",
        "Blip2Processor",
        "Blip2QFormerConfig",
        "Blip2VisionConfig",
    ],
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    "models.bloom": ["BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP", "BloomConfig"],
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    "models.bort": [],
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    "models.bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerProcessor",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
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    "models.byt5": ["ByT5Tokenizer"],
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    "models.camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig"],
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    "models.canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig", "CanineTokenizer"],
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    "models.chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPProcessor",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
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    "models.clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapProcessor",
        "ClapTextConfig",
    ],
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    "models.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
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        "CLIPProcessor",
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        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
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    "models.clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegProcessor",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
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    "models.codegen": ["CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodeGenConfig", "CodeGenTokenizer"],
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    "models.conditional_detr": ["CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConditionalDetrConfig"],
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    "models.convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig", "ConvBertTokenizer"],
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    "models.convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
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    "models.convnextv2": ["CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextV2Config"],
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    "models.cpm": [],
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    "models.cpmant": ["CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CpmAntConfig", "CpmAntTokenizer"],
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    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
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    "models.cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"],
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    "models.data2vec": [
        "DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Data2VecAudioConfig",
        "Data2VecTextConfig",
        "Data2VecVisionConfig",
    ],
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    "models.deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaTokenizer"],
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    "models.deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config"],
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    "models.decision_transformer": ["DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig"],
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    "models.deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
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    "models.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
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    "models.deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
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    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
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    "models.dialogpt": [],
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    "models.dinat": ["DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DinatConfig"],
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    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
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    "models.dit": [],
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    "models.donut": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutProcessor", "DonutSwinConfig"],
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    "models.dpr": [
        "DPR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DPRConfig",
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
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    "models.dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"],
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    "models.efficientformer": ["EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientFormerConfig"],
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    "models.efficientnet": ["EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientNetConfig"],
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    "models.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
    "models.encoder_decoder": ["EncoderDecoderConfig"],
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    "models.ernie": [
        "ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ErnieConfig",
    ],
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    "models.ernie_m": ["ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP", "ErnieMConfig"],
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    "models.esm": ["ESM_PRETRAINED_CONFIG_ARCHIVE_MAP", "EsmConfig", "EsmTokenizer"],
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    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
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    "models.flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
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    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"],
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    "models.focalnet": ["FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FocalNetConfig"],
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    "models.fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig", "FSMTTokenizer"],
    "models.funnel": ["FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP", "FunnelConfig", "FunnelTokenizer"],
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    "models.git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitProcessor", "GitVisionConfig"],
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    "models.glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"],
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    "models.gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2Tokenizer"],
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    "models.gpt_bigcode": ["GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTBigCodeConfig"],
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    "models.gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
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    "models.gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"],
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    "models.gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXJapaneseConfig"],
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    "models.gpt_sw3": [],
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    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
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    "models.gptsan_japanese": [
        "GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GPTSanJapaneseConfig",
        "GPTSanJapaneseTokenizer",
    ],
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    "models.graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"],
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    "models.groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
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    "models.herbert": ["HerbertTokenizer"],
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    "models.hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
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    "models.ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig"],
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    "models.imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
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    "models.informer": ["INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "InformerConfig"],
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    "models.jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxTokenizer",
        "JukeboxVQVAEConfig",
    ],
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    "models.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
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    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
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        "LayoutLMv2ImageProcessor",
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        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
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    "models.layoutlmv3": [
        "LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv3Config",
        "LayoutLMv3FeatureExtractor",
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        "LayoutLMv3ImageProcessor",
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        "LayoutLMv3Processor",
        "LayoutLMv3Tokenizer",
    ],
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    "models.layoutxlm": ["LayoutXLMProcessor"],
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    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
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    "models.levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig"],
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    "models.lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
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    "models.llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
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    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
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    "models.longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config"],
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    "models.luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig", "LukeTokenizer"],
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    "models.lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig", "LxmertTokenizer"],
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    "models.m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config"],
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    "models.marian": ["MarianConfig"],
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    "models.markuplm": [
        "MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MarkupLMConfig",
        "MarkupLMFeatureExtractor",
        "MarkupLMProcessor",
        "MarkupLMTokenizer",
    ],
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    "models.mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
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    "models.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig", "MaskFormerSwinConfig"],
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    "models.mbart": ["MBartConfig"],
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    "models.mbart50": [],
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    "models.mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig", "MCTCTProcessor"],
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    "models.mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig"],
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    "models.megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
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    "models.megatron_gpt2": [],
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    "models.mgp_str": ["MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP", "MgpstrConfig", "MgpstrProcessor", "MgpstrTokenizer"],
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    "models.mluke": [],
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    "models.mmbt": ["MMBTConfig"],
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
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    "models.mobilenet_v1": ["MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV1Config"],
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    "models.mobilenet_v2": ["MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV2Config"],
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    "models.mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig"],
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    "models.mobilevitv2": ["MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTV2Config"],
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    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
    "models.mt5": ["MT5Config"],
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    "models.mvp": ["MvpConfig", "MvpTokenizer"],
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    "models.nat": ["NAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "NatConfig"],
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    "models.nezha": ["NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP", "NezhaConfig"],
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    "models.nllb": [],
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    "models.nllb_moe": ["NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP", "NllbMoeConfig"],
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    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
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    "models.oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig", "OneFormerProcessor"],
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    "models.open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
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    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
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    "models.opt": ["OPTConfig"],
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    "models.owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTProcessor",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
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    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
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    "models.pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
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    "models.perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "PerceiverTokenizer"],
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    "models.phobert": ["PhobertTokenizer"],
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    "models.pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructProcessor",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
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    "models.plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
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    "models.poolformer": ["POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PoolFormerConfig"],
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    "models.prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig", "ProphetNetTokenizer"],
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    "models.qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
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    "models.rag": ["RagConfig", "RagRetriever", "RagTokenizer"],
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    "models.realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig", "RealmTokenizer"],
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    "models.reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"],
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    "models.regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"],
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    "models.rembert": ["REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RemBertConfig"],
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    "models.resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig"],
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    "models.retribert": ["RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RetriBertConfig", "RetriBertTokenizer"],
    "models.roberta": ["ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaConfig", "RobertaTokenizer"],
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    "models.roberta_prelayernorm": ["ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaPreLayerNormConfig"],
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    "models.roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig", "RoCBertTokenizer"],
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    "models.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
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    "models.rwkv": ["RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP", "RwkvConfig"],
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    "models.sam": [
        "SAM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SamConfig",
        "SamMaskDecoderConfig",
        "SamProcessor",
        "SamPromptEncoderConfig",
        "SamVisionConfig",
    ],
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    "models.segformer": ["SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SegformerConfig"],
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    "models.sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"],
    "models.sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"],
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    "models.speech_encoder_decoder": ["SpeechEncoderDecoderConfig"],
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    "models.speech_to_text": [
        "SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2TextConfig",
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        "Speech2TextProcessor",
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    ],
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    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
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    "models.speecht5": [
        "SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP",
        "SpeechT5Config",
        "SpeechT5HifiGanConfig",
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        "SpeechT5Processor",
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    ],
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    "models.splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig", "SplinterTokenizer"],
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    "models.squeezebert": ["SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "SqueezeBertConfig", "SqueezeBertTokenizer"],
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Shehan Munasinghe committed
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    "models.swiftformer": ["SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwiftFormerConfig"],
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novice committed
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    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
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NielsRogge committed
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    "models.swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
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    "models.swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
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    "models.switch_transformers": ["SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwitchTransformersConfig"],
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    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
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    "models.table_transformer": ["TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TableTransformerConfig"],
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    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
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    "models.tapex": ["TapexTokenizer"],
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    "models.time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
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    "models.timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
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amyeroberts committed
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    "models.timm_backbone": ["TimmBackboneConfig"],
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    "models.trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
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    "models.transfo_xl": [
        "TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TransfoXLConfig",
        "TransfoXLCorpus",
        "TransfoXLTokenizer",
    ],
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    "models.trocr": [
        "TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrOCRConfig",
        "TrOCRProcessor",
    ],
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    "models.tvlt": [
        "TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TvltConfig",
        "TvltProcessor",
    ],
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    "models.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
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    "models.upernet": ["UperNetConfig"],
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    "models.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
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NielsRogge committed
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    "models.videomae": ["VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "VideoMAEConfig"],
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    "models.vilt": [
        "VILT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ViltConfig",
        "ViltFeatureExtractor",
        "ViltImageProcessor",
        "ViltProcessor",
    ],
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    "models.vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
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    "models.vision_text_dual_encoder": ["VisionTextDualEncoderConfig", "VisionTextDualEncoderProcessor"],
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    "models.visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"],
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    "models.vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig"],
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NielsRogge committed
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    "models.vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"],
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NielsRogge committed
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    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
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    "models.vit_msn": ["VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMSNConfig"],
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    "models.wav2vec2": [
        "WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2Config",
        "Wav2Vec2CTCTokenizer",
        "Wav2Vec2FeatureExtractor",
        "Wav2Vec2Processor",
        "Wav2Vec2Tokenizer",
    ],
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    "models.wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
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    "models.wav2vec2_phoneme": ["Wav2Vec2PhonemeCTCTokenizer"],
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    "models.wav2vec2_with_lm": ["Wav2Vec2ProcessorWithLM"],
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    "models.wavlm": [
        "WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WavLMConfig",
    ],
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    "models.whisper": [
        "WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WhisperConfig",
        "WhisperFeatureExtractor",
        "WhisperProcessor",
        "WhisperTokenizer",
    ],
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    "models.x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPProcessor",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
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    "models.xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
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    "models.xlm": ["XLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMConfig", "XLMTokenizer"],
    "models.xlm_prophetnet": ["XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMProphetNetConfig"],
    "models.xlm_roberta": ["XLM_ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaConfig"],
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    "models.xlm_roberta_xl": ["XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaXLConfig"],
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    "models.xlnet": ["XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLNetConfig"],
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Jannis Vamvas committed
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    "models.xmod": ["XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP", "XmodConfig"],
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NielsRogge committed
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    "models.yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig"],
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    "models.yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
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    "onnx": [],
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    "pipelines": [
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        "AudioClassificationPipeline",
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        "AutomaticSpeechRecognitionPipeline",
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        "Conversation",
        "ConversationalPipeline",
        "CsvPipelineDataFormat",
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        "DepthEstimationPipeline",
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        "DocumentQuestionAnsweringPipeline",
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        "FeatureExtractionPipeline",
        "FillMaskPipeline",
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        "ImageClassificationPipeline",
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        "ImageSegmentationPipeline",
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        "ImageToTextPipeline",
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        "JsonPipelineDataFormat",
        "NerPipeline",
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        "ObjectDetectionPipeline",
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        "PipedPipelineDataFormat",
        "Pipeline",
        "PipelineDataFormat",
        "QuestionAnsweringPipeline",
        "SummarizationPipeline",
        "TableQuestionAnsweringPipeline",
        "Text2TextGenerationPipeline",
        "TextClassificationPipeline",
        "TextGenerationPipeline",
        "TokenClassificationPipeline",
        "TranslationPipeline",
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        "VideoClassificationPipeline",
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        "VisualQuestionAnsweringPipeline",
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        "ZeroShotAudioClassificationPipeline",
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        "ZeroShotClassificationPipeline",
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        "ZeroShotImageClassificationPipeline",
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        "ZeroShotObjectDetectionPipeline",
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        "pipeline",
    ],
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    "processing_utils": ["ProcessorMixin"],
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    "testing_utils": [],
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    "tokenization_utils": ["PreTrainedTokenizer"],
    "tokenization_utils_base": [
        "AddedToken",
        "BatchEncoding",
        "CharSpan",
        "PreTrainedTokenizerBase",
        "SpecialTokensMixin",
        "TokenSpan",
    ],
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    "tools": [
        "Agent",
        "HfAgent",
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        "LocalAgent",
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        "OpenAiAgent",
        "PipelineTool",
        "RemoteTool",
        "Tool",
        "launch_gradio_demo",
        "load_tool",
    ],
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    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
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    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "enable_full_determinism", "set_seed"],
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    "training_args": ["TrainingArguments"],
    "training_args_seq2seq": ["Seq2SeqTrainingArguments"],
    "training_args_tf": ["TFTrainingArguments"],
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    "utils": [
        "CONFIG_NAME",
        "MODEL_CARD_NAME",
        "PYTORCH_PRETRAINED_BERT_CACHE",
        "PYTORCH_TRANSFORMERS_CACHE",
        "SPIECE_UNDERLINE",
        "TF2_WEIGHTS_NAME",
        "TF_WEIGHTS_NAME",
        "TRANSFORMERS_CACHE",
        "WEIGHTS_NAME",
        "TensorType",
        "add_end_docstrings",
        "add_start_docstrings",
        "is_apex_available",
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        "is_bitsandbytes_available",
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        "is_datasets_available",
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        "is_decord_available",
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        "is_faiss_available",
        "is_flax_available",
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        "is_keras_nlp_available",
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        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
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        "is_safetensors_available",
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        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
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        "is_tensorflow_text_available",
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        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
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        "is_torch_neuroncore_available",
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        "is_torch_tpu_available",
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        "is_torchvision_available",
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        "is_vision_available",
        "logging",
    ],
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    "utils.bitsandbytes": [],
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    "utils.quantization_config": ["BitsAndBytesConfig"],
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}
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# sentencepiece-backed objects
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try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_sentencepiece_objects

    _import_structure["utils.dummy_sentencepiece_objects"] = [
        name for name in dir(dummy_sentencepiece_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["models.albert"].append("AlbertTokenizer")
    _import_structure["models.barthez"].append("BarthezTokenizer")
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    _import_structure["models.bartpho"].append("BartphoTokenizer")
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    _import_structure["models.bert_generation"].append("BertGenerationTokenizer")
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    _import_structure["models.big_bird"].append("BigBirdTokenizer")
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    _import_structure["models.camembert"].append("CamembertTokenizer")
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    _import_structure["models.cpm"].append("CpmTokenizer")
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    _import_structure["models.deberta_v2"].append("DebertaV2Tokenizer")
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    _import_structure["models.ernie_m"].append("ErnieMTokenizer")
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    _import_structure["models.fnet"].append("FNetTokenizer")
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    _import_structure["models.gpt_sw3"].append("GPTSw3Tokenizer")
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    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
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    _import_structure["models.llama"].append("LlamaTokenizer")
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    _import_structure["models.m2m_100"].append("M2M100Tokenizer")
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    _import_structure["models.marian"].append("MarianTokenizer")
    _import_structure["models.mbart"].append("MBartTokenizer")
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    _import_structure["models.mbart50"].append("MBart50Tokenizer")
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    _import_structure["models.mluke"].append("MLukeTokenizer")
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    _import_structure["models.mt5"].append("MT5Tokenizer")
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    _import_structure["models.nllb"].append("NllbTokenizer")
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    _import_structure["models.pegasus"].append("PegasusTokenizer")
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    _import_structure["models.plbart"].append("PLBartTokenizer")
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    _import_structure["models.reformer"].append("ReformerTokenizer")
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    _import_structure["models.rembert"].append("RemBertTokenizer")
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    _import_structure["models.speech_to_text"].append("Speech2TextTokenizer")
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    _import_structure["models.speecht5"].append("SpeechT5Tokenizer")
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    _import_structure["models.t5"].append("T5Tokenizer")
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    _import_structure["models.xglm"].append("XGLMTokenizer")
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    _import_structure["models.xlm_prophetnet"].append("XLMProphetNetTokenizer")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizer")
    _import_structure["models.xlnet"].append("XLNetTokenizer")

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# tokenizers-backed objects
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try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tokenizers_objects

    _import_structure["utils.dummy_tokenizers_objects"] = [
        name for name in dir(dummy_tokenizers_objects) if not name.startswith("_")
    ]
else:
    # Fast tokenizers structure
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    _import_structure["models.albert"].append("AlbertTokenizerFast")
    _import_structure["models.bart"].append("BartTokenizerFast")
    _import_structure["models.barthez"].append("BarthezTokenizerFast")
    _import_structure["models.bert"].append("BertTokenizerFast")
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    _import_structure["models.big_bird"].append("BigBirdTokenizerFast")
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    _import_structure["models.blenderbot"].append("BlenderbotTokenizerFast")
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    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
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    _import_structure["models.bloom"].append("BloomTokenizerFast")
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    _import_structure["models.camembert"].append("CamembertTokenizerFast")
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    _import_structure["models.clip"].append("CLIPTokenizerFast")
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    _import_structure["models.codegen"].append("CodeGenTokenizerFast")
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    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
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    _import_structure["models.cpm"].append("CpmTokenizerFast")
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    _import_structure["models.deberta"].append("DebertaTokenizerFast")
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    _import_structure["models.deberta_v2"].append("DebertaV2TokenizerFast")
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    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
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    _import_structure["models.fnet"].append("FNetTokenizerFast")
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    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
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    _import_structure["models.gpt_neox"].append("GPTNeoXTokenizerFast")
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    _import_structure["models.gpt_neox_japanese"].append("GPTNeoXJapaneseTokenizer")
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    _import_structure["models.herbert"].append("HerbertTokenizerFast")
    _import_structure["models.layoutlm"].append("LayoutLMTokenizerFast")
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    _import_structure["models.layoutlmv2"].append("LayoutLMv2TokenizerFast")
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    _import_structure["models.layoutlmv3"].append("LayoutLMv3TokenizerFast")
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    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizerFast")
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    _import_structure["models.led"].append("LEDTokenizerFast")
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    _import_structure["models.llama"].append("LlamaTokenizerFast")
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    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
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NielsRogge committed
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    _import_structure["models.markuplm"].append("MarkupLMTokenizerFast")
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    _import_structure["models.mbart"].append("MBartTokenizerFast")
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    _import_structure["models.mbart50"].append("MBart50TokenizerFast")
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    _import_structure["models.mobilebert"].append("MobileBertTokenizerFast")
    _import_structure["models.mpnet"].append("MPNetTokenizerFast")
    _import_structure["models.mt5"].append("MT5TokenizerFast")
StevenTang1998's avatar
StevenTang1998 committed
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    _import_structure["models.mvp"].append("MvpTokenizerFast")
Lysandre Debut's avatar
Lysandre Debut committed
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    _import_structure["models.nllb"].append("NllbTokenizerFast")
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    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
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    _import_structure["models.realm"].append("RealmTokenizerFast")
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    _import_structure["models.reformer"].append("ReformerTokenizerFast")
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    _import_structure["models.rembert"].append("RemBertTokenizerFast")
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    _import_structure["models.retribert"].append("RetriBertTokenizerFast")
    _import_structure["models.roberta"].append("RobertaTokenizerFast")
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    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
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Ori Ram committed
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    _import_structure["models.splinter"].append("SplinterTokenizerFast")
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    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
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    _import_structure["models.whisper"].append("WhisperTokenizerFast")
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    _import_structure["models.xglm"].append("XGLMTokenizerFast")
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    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
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try:
    if not (is_sentencepiece_available() and is_tokenizers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
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    from .utils import dummy_sentencepiece_and_tokenizers_objects

    _import_structure["utils.dummy_sentencepiece_and_tokenizers_objects"] = [
        name for name in dir(dummy_sentencepiece_and_tokenizers_objects) if not name.startswith("_")
    ]
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else:
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
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# Speech-specific objects
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try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
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    from .utils import dummy_speech_objects

    _import_structure["utils.dummy_speech_objects"] = [
        name for name in dir(dummy_speech_objects) if not name.startswith("_")
    ]
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else:
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    _import_structure["models.audio_spectrogram_transformer"].append("ASTFeatureExtractor")
Chan Woo Kim's avatar
Chan Woo Kim committed
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    _import_structure["models.mctct"].append("MCTCTFeatureExtractor")
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    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")
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    _import_structure["models.speecht5"].append("SpeechT5FeatureExtractor")
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Zineng Tang committed
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    _import_structure["models.tvlt"].append("TvltFeatureExtractor")
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# Tensorflow-text-specific objects
try:
    if not is_tensorflow_text_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tensorflow_text_objects

    _import_structure["utils.dummy_tensorflow_text_objects"] = [
        name for name in dir(dummy_tensorflow_text_objects) if not name.startswith("_")
    ]
else:
    _import_structure["models.bert"].append("TFBertTokenizer")

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# keras-nlp-specific objects
try:
    if not is_keras_nlp_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_keras_nlp_objects

    _import_structure["utils.dummy_keras_nlp_objects"] = [
        name for name in dir(dummy_keras_nlp_objects) if not name.startswith("_")
    ]
else:
    _import_structure["models.gpt2"].append("TFGPT2Tokenizer")

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# Vision-specific objects
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try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_vision_objects

    _import_structure["utils.dummy_vision_objects"] = [
        name for name in dir(dummy_vision_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["image_processing_utils"] = ["ImageProcessingMixin"]
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    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
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amyeroberts committed
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    _import_structure["models.beit"].extend(["BeitFeatureExtractor", "BeitImageProcessor"])
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NielsRogge committed
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    _import_structure["models.bit"].extend(["BitImageProcessor"])
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Younes Belkada committed
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    _import_structure["models.blip"].extend(["BlipImageProcessor"])
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    _import_structure["models.bridgetower"].append("BridgeTowerImageProcessor")
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    _import_structure["models.chinese_clip"].extend(["ChineseCLIPFeatureExtractor", "ChineseCLIPImageProcessor"])
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amyeroberts committed
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    _import_structure["models.clip"].extend(["CLIPFeatureExtractor", "CLIPImageProcessor"])
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    _import_structure["models.conditional_detr"].extend(
        ["ConditionalDetrFeatureExtractor", "ConditionalDetrImageProcessor"]
    )
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    _import_structure["models.convnext"].extend(["ConvNextFeatureExtractor", "ConvNextImageProcessor"])
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    _import_structure["models.deformable_detr"].extend(
        ["DeformableDetrFeatureExtractor", "DeformableDetrImageProcessor"]
    )
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amyeroberts committed
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    _import_structure["models.deit"].extend(["DeiTFeatureExtractor", "DeiTImageProcessor"])
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NielsRogge committed
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    _import_structure["models.deta"].append("DetaImageProcessor")
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    _import_structure["models.detr"].extend(["DetrFeatureExtractor", "DetrImageProcessor"])
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    _import_structure["models.donut"].extend(["DonutFeatureExtractor", "DonutImageProcessor"])
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amyeroberts committed
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    _import_structure["models.dpt"].extend(["DPTFeatureExtractor", "DPTImageProcessor"])
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    _import_structure["models.efficientformer"].append("EfficientFormerImageProcessor")
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Alara Dirik committed
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    _import_structure["models.efficientnet"].append("EfficientNetImageProcessor")
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    _import_structure["models.flava"].extend(["FlavaFeatureExtractor", "FlavaImageProcessor", "FlavaProcessor"])
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    _import_structure["models.glpn"].extend(["GLPNFeatureExtractor", "GLPNImageProcessor"])
    _import_structure["models.imagegpt"].extend(["ImageGPTFeatureExtractor", "ImageGPTImageProcessor"])
    _import_structure["models.layoutlmv2"].extend(["LayoutLMv2FeatureExtractor", "LayoutLMv2ImageProcessor"])
    _import_structure["models.layoutlmv3"].extend(["LayoutLMv3FeatureExtractor", "LayoutLMv3ImageProcessor"])
    _import_structure["models.levit"].extend(["LevitFeatureExtractor", "LevitImageProcessor"])
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    _import_structure["models.mask2former"].append("Mask2FormerImageProcessor")
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    _import_structure["models.maskformer"].extend(["MaskFormerFeatureExtractor", "MaskFormerImageProcessor"])
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    _import_structure["models.mobilenet_v1"].extend(["MobileNetV1FeatureExtractor", "MobileNetV1ImageProcessor"])
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    _import_structure["models.mobilenet_v2"].extend(["MobileNetV2FeatureExtractor", "MobileNetV2ImageProcessor"])
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amyeroberts committed
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    _import_structure["models.mobilevit"].extend(["MobileViTFeatureExtractor", "MobileViTImageProcessor"])
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Jitesh Jain committed
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    _import_structure["models.oneformer"].extend(["OneFormerImageProcessor"])
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    _import_structure["models.owlvit"].extend(["OwlViTFeatureExtractor", "OwlViTImageProcessor"])
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amyeroberts committed
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    _import_structure["models.perceiver"].extend(["PerceiverFeatureExtractor", "PerceiverImageProcessor"])
Younes Belkada's avatar
Younes Belkada committed
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    _import_structure["models.pix2struct"].extend(["Pix2StructImageProcessor"])
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amyeroberts committed
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    _import_structure["models.poolformer"].extend(["PoolFormerFeatureExtractor", "PoolFormerImageProcessor"])
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    _import_structure["models.sam"].extend(["SamImageProcessor"])
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amyeroberts committed
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    _import_structure["models.segformer"].extend(["SegformerFeatureExtractor", "SegformerImageProcessor"])
NielsRogge's avatar
NielsRogge committed
909
    _import_structure["models.swin2sr"].append("Swin2SRImageProcessor")
Zineng Tang's avatar
Zineng Tang committed
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    _import_structure["models.tvlt"].append("TvltImageProcessor")
amyeroberts's avatar
amyeroberts committed
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    _import_structure["models.videomae"].extend(["VideoMAEFeatureExtractor", "VideoMAEImageProcessor"])
    _import_structure["models.vilt"].extend(["ViltFeatureExtractor", "ViltImageProcessor", "ViltProcessor"])
    _import_structure["models.vit"].extend(["ViTFeatureExtractor", "ViTImageProcessor"])
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NielsRogge committed
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    _import_structure["models.vit_hybrid"].extend(["ViTHybridImageProcessor"])
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    _import_structure["models.yolos"].extend(["YolosFeatureExtractor", "YolosImageProcessor"])
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# PyTorch-backed objects
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try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_pt_objects

    _import_structure["utils.dummy_pt_objects"] = [name for name in dir(dummy_pt_objects) if not name.startswith("_")]
else:
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    _import_structure["activations"] = []
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    _import_structure["benchmark.benchmark"] = ["PyTorchBenchmark"]
    _import_structure["benchmark.benchmark_args"] = ["PyTorchBenchmarkArguments"]
    _import_structure["data.datasets"] = [
        "GlueDataset",
        "GlueDataTrainingArguments",
        "LineByLineTextDataset",
        "LineByLineWithRefDataset",
        "LineByLineWithSOPTextDataset",
        "SquadDataset",
        "SquadDataTrainingArguments",
        "TextDataset",
        "TextDatasetForNextSentencePrediction",
    ]
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    _import_structure["deepspeed"] = []
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    _import_structure["generation"].extend(
        [
            "BeamScorer",
            "BeamSearchScorer",
            "ConstrainedBeamSearchScorer",
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            "Constraint",
            "ConstraintListState",
            "DisjunctiveConstraint",
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            "ForcedBOSTokenLogitsProcessor",
            "ForcedEOSTokenLogitsProcessor",
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            "GenerationMixin",
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            "HammingDiversityLogitsProcessor",
            "InfNanRemoveLogitsProcessor",
            "LogitsProcessor",
            "LogitsProcessorList",
            "LogitsWarper",
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            "MaxLengthCriteria",
            "MaxTimeCriteria",
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            "MinLengthLogitsProcessor",
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            "MinNewTokensLengthLogitsProcessor",
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            "NoBadWordsLogitsProcessor",
            "NoRepeatNGramLogitsProcessor",
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            "PhrasalConstraint",
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            "PrefixConstrainedLogitsProcessor",
            "RepetitionPenaltyLogitsProcessor",
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            "StoppingCriteria",
            "StoppingCriteriaList",
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            "TemperatureLogitsWarper",
            "TopKLogitsWarper",
            "TopPLogitsWarper",
            "TypicalLogitsWarper",
            "top_k_top_p_filtering",
        ]
    )
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    _import_structure["generation_utils"] = []
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    _import_structure["modeling_outputs"] = []
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    _import_structure["modeling_utils"] = ["PreTrainedModel"]
Suraj Patil's avatar
Suraj Patil committed
979

NielsRogge's avatar
NielsRogge committed
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    # PyTorch models structure
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    _import_structure["models.albert"].extend(
        [
            "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlbertForMaskedLM",
            "AlbertForMultipleChoice",
            "AlbertForPreTraining",
            "AlbertForQuestionAnswering",
            "AlbertForSequenceClassification",
            "AlbertForTokenClassification",
            "AlbertModel",
            "AlbertPreTrainedModel",
            "load_tf_weights_in_albert",
        ]
    )
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    _import_structure["models.align"].extend(
        [
            "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlignModel",
            "AlignPreTrainedModel",
            "AlignTextModel",
            "AlignVisionModel",
        ]
    )
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    _import_structure["models.altclip"].extend(
        [
            "ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AltCLIPModel",
            "AltCLIPPreTrainedModel",
            "AltCLIPTextModel",
            "AltCLIPVisionModel",
        ]
    )
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    _import_structure["models.audio_spectrogram_transformer"].extend(
        [
            "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ASTForAudioClassification",
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            "ASTModel",
            "ASTPreTrainedModel",
        ]
    )
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    _import_structure["models.auto"].extend(
        [
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            "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_AUDIO_XVECTOR_MAPPING",
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            "MODEL_FOR_BACKBONE_MAPPING",
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            "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING",
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            "MODEL_FOR_CAUSAL_LM_MAPPING",
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            "MODEL_FOR_CTC_MAPPING",
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            "MODEL_FOR_DEPTH_ESTIMATION_MAPPING",
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            "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
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            "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
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            "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
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            "MODEL_FOR_MASKED_LM_MAPPING",
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            "MODEL_FOR_MASK_GENERATION_MAPPING",
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            "MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
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            "MODEL_FOR_OBJECT_DETECTION_MAPPING",
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            "MODEL_FOR_PRETRAINING_MAPPING",
            "MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
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            "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
            "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING",
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            "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING",
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            "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
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            "MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING",
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            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
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            "AutoBackbone",
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            "AutoModel",
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            "AutoModelForAudioClassification",
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            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
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            "AutoModelForCTC",
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            "AutoModelForDepthEstimation",
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            "AutoModelForDocumentQuestionAnswering",
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            "AutoModelForImageClassification",
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            "AutoModelForImageSegmentation",
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            "AutoModelForInstanceSegmentation",
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            "AutoModelForMaskedImageModeling",
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            "AutoModelForMaskedLM",
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            "AutoModelForMaskGeneration",
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            "AutoModelForMultipleChoice",
            "AutoModelForNextSentencePrediction",
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            "AutoModelForObjectDetection",
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            "AutoModelForPreTraining",
            "AutoModelForQuestionAnswering",
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            "AutoModelForSemanticSegmentation",
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            "AutoModelForSeq2SeqLM",
            "AutoModelForSequenceClassification",
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            "AutoModelForSpeechSeq2Seq",
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            "AutoModelForTableQuestionAnswering",
            "AutoModelForTokenClassification",
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            "AutoModelForUniversalSegmentation",
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            "AutoModelForVideoClassification",
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            "AutoModelForVision2Seq",
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            "AutoModelForVisualQuestionAnswering",
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            "AutoModelForZeroShotImageClassification",
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            "AutoModelForZeroShotObjectDetection",
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            "AutoModelWithLMHead",
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        ]
    )
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    _import_structure["models.autoformer"].extend(
        [
            "AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AutoformerForPrediction",
            "AutoformerModel",
            "AutoformerPreTrainedModel",
        ]
    )
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    _import_structure["models.bart"].extend(
        [
            "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BartForCausalLM",
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            "BartForConditionalGeneration",
            "BartForQuestionAnswering",
            "BartForSequenceClassification",
            "BartModel",
            "BartPretrainedModel",
            "PretrainedBartModel",
        ]
    )
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    _import_structure["models.beit"].extend(
        [
            "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BeitForImageClassification",
            "BeitForMaskedImageModeling",
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            "BeitForSemanticSegmentation",
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            "BeitModel",
            "BeitPreTrainedModel",
        ]
    )
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    _import_structure["models.bert"].extend(
        [
            "BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BertForMaskedLM",
            "BertForMultipleChoice",
            "BertForNextSentencePrediction",
            "BertForPreTraining",
            "BertForQuestionAnswering",
            "BertForSequenceClassification",
            "BertForTokenClassification",
            "BertLayer",
            "BertLMHeadModel",
            "BertModel",
            "BertPreTrainedModel",
            "load_tf_weights_in_bert",
        ]
    )
    _import_structure["models.bert_generation"].extend(
        [
            "BertGenerationDecoder",
            "BertGenerationEncoder",
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            "BertGenerationPreTrainedModel",
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            "load_tf_weights_in_bert_generation",
        ]
    )
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    _import_structure["models.big_bird"].extend(
        [
            "BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdForCausalLM",
            "BigBirdForMaskedLM",
            "BigBirdForMultipleChoice",
            "BigBirdForPreTraining",
            "BigBirdForQuestionAnswering",
            "BigBirdForSequenceClassification",
            "BigBirdForTokenClassification",
            "BigBirdLayer",
            "BigBirdModel",
            "BigBirdPreTrainedModel",
            "load_tf_weights_in_big_bird",
        ]
    )
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    _import_structure["models.bigbird_pegasus"].extend(
        [
            "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdPegasusForCausalLM",
            "BigBirdPegasusForConditionalGeneration",
            "BigBirdPegasusForQuestionAnswering",
            "BigBirdPegasusForSequenceClassification",
            "BigBirdPegasusModel",
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            "BigBirdPegasusPreTrainedModel",
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        ]
    )
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    _import_structure["models.biogpt"].extend(
        [
            "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BioGptForCausalLM",
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            "BioGptForSequenceClassification",
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            "BioGptForTokenClassification",
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            "BioGptModel",
            "BioGptPreTrainedModel",
        ]
    )
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    _import_structure["models.bit"].extend(
        [
            "BIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BitBackbone",
            "BitForImageClassification",
            "BitModel",
            "BitPreTrainedModel",
        ]
    )
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    _import_structure["models.blenderbot"].extend(
        [
            "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BlenderbotForCausalLM",
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            "BlenderbotForConditionalGeneration",
            "BlenderbotModel",
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            "BlenderbotPreTrainedModel",
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        ]
    )
    _import_structure["models.blenderbot_small"].extend(
        [
            "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BlenderbotSmallForCausalLM",
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            "BlenderbotSmallForConditionalGeneration",
            "BlenderbotSmallModel",
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            "BlenderbotSmallPreTrainedModel",
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        ]
    )
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    _import_structure["models.blip"].extend(
        [
            "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BlipForConditionalGeneration",
            "BlipForImageTextRetrieval",
            "BlipForQuestionAnswering",
            "BlipModel",
            "BlipPreTrainedModel",
            "BlipTextModel",
            "BlipVisionModel",
        ]
    )
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    _import_structure["models.blip_2"].extend(
        [
            "BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Blip2ForConditionalGeneration",
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            "Blip2Model",
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            "Blip2PreTrainedModel",
            "Blip2QFormerModel",
            "Blip2VisionModel",
        ]
    )
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    _import_structure["models.bloom"].extend(
        [
            "BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BloomForCausalLM",
            "BloomForQuestionAnswering",
            "BloomForSequenceClassification",
            "BloomForTokenClassification",
            "BloomModel",
            "BloomPreTrainedModel",
        ]
    )
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    _import_structure["models.bridgetower"].extend(
        [
            "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "BridgeTowerForContrastiveLearning",
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            "BridgeTowerForImageAndTextRetrieval",
            "BridgeTowerForMaskedLM",
            "BridgeTowerModel",
            "BridgeTowerPreTrainedModel",
        ]
    )
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    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
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            "CamembertPreTrainedModel",
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        ]
    )
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    _import_structure["models.canine"].extend(
        [
            "CANINE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CanineForMultipleChoice",
            "CanineForQuestionAnswering",
            "CanineForSequenceClassification",
            "CanineForTokenClassification",
            "CanineLayer",
            "CanineModel",
            "CaninePreTrainedModel",
            "load_tf_weights_in_canine",
        ]
    )
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    _import_structure["models.chinese_clip"].extend(
        [
            "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ChineseCLIPModel",
            "ChineseCLIPPreTrainedModel",
            "ChineseCLIPTextModel",
            "ChineseCLIPVisionModel",
        ]
    )
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    _import_structure["models.clap"].extend(
        [
            "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ClapAudioModel",
            "ClapAudioModelWithProjection",
            "ClapFeatureExtractor",
            "ClapModel",
            "ClapPreTrainedModel",
            "ClapTextModel",
            "ClapTextModelWithProjection",
        ]
    )
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    _import_structure["models.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
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            "CLIPTextModelWithProjection",
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            "CLIPVisionModel",
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            "CLIPVisionModelWithProjection",
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        ]
    )
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    _import_structure["models.clipseg"].extend(
        [
            "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "CLIPSegForImageSegmentation",
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            "CLIPSegModel",
            "CLIPSegPreTrainedModel",
            "CLIPSegTextModel",
            "CLIPSegVisionModel",
        ]
    )
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    _import_structure["models.codegen"].extend(
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        [
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            "CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CodeGenForCausalLM",
            "CodeGenModel",
            "CodeGenPreTrainedModel",
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        ]
    )
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    _import_structure["models.conditional_detr"].extend(
        [
            "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConditionalDetrForObjectDetection",
            "ConditionalDetrForSegmentation",
            "ConditionalDetrModel",
            "ConditionalDetrPreTrainedModel",
        ]
    )
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    _import_structure["models.convbert"].extend(
        [
            "CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvBertForMaskedLM",
            "ConvBertForMultipleChoice",
            "ConvBertForQuestionAnswering",
            "ConvBertForSequenceClassification",
            "ConvBertForTokenClassification",
            "ConvBertLayer",
            "ConvBertModel",
            "ConvBertPreTrainedModel",
            "load_tf_weights_in_convbert",
        ]
    )
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    _import_structure["models.convnext"].extend(
        [
            "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ConvNextBackbone",
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            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
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    _import_structure["models.convnextv2"].extend(
        [
            "CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvNextV2Backbone",
            "ConvNextV2ForImageClassification",
            "ConvNextV2Model",
            "ConvNextV2PreTrainedModel",
        ]
    )
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    _import_structure["models.cpmant"].extend(
        [
            "CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CpmAntForCausalLM",
            "CpmAntModel",
            "CpmAntPreTrainedModel",
        ]
    )
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    _import_structure["models.ctrl"].extend(
        [
            "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CTRLForSequenceClassification",
            "CTRLLMHeadModel",
            "CTRLModel",
            "CTRLPreTrainedModel",
        ]
    )
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    _import_structure["models.cvt"].extend(
        [
            "CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CvtForImageClassification",
            "CvtModel",
            "CvtPreTrainedModel",
        ]
    )
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    _import_structure["models.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
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            "Data2VecVisionForImageClassification",
            "Data2VecVisionForSemanticSegmentation",
            "Data2VecVisionModel",
            "Data2VecVisionPreTrainedModel",
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        ]
    )
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    _import_structure["models.deberta"].extend(
        [
            "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DebertaForMaskedLM",
            "DebertaForQuestionAnswering",
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            "DebertaForSequenceClassification",
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            "DebertaForTokenClassification",
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            "DebertaModel",
            "DebertaPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta_v2"].extend(
        [
            "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DebertaV2ForMaskedLM",
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            "DebertaV2ForMultipleChoice",
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            "DebertaV2ForQuestionAnswering",
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            "DebertaV2ForSequenceClassification",
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            "DebertaV2ForTokenClassification",
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            "DebertaV2Model",
            "DebertaV2PreTrainedModel",
        ]
    )
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    _import_structure["models.decision_transformer"].extend(
        [
            "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DecisionTransformerGPT2Model",
            "DecisionTransformerGPT2PreTrainedModel",
            "DecisionTransformerModel",
            "DecisionTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.deformable_detr"].extend(
        [
            "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeformableDetrForObjectDetection",
            "DeformableDetrModel",
            "DeformableDetrPreTrainedModel",
        ]
    )
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    _import_structure["models.deit"].extend(
        [
            "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeiTForImageClassification",
            "DeiTForImageClassificationWithTeacher",
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            "DeiTForMaskedImageModeling",
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            "DeiTModel",
            "DeiTPreTrainedModel",
        ]
    )
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    _import_structure["models.deta"].extend(
        [
            "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetaForObjectDetection",
            "DetaModel",
            "DetaPreTrainedModel",
        ]
    )
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    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
            "DetrPreTrainedModel",
        ]
    )
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    _import_structure["models.dinat"].extend(
        [
            "DINAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "DinatBackbone",
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            "DinatForImageClassification",
            "DinatModel",
            "DinatPreTrainedModel",
        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
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    _import_structure["models.donut"].extend(
        [
            "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DonutSwinModel",
            "DonutSwinPreTrainedModel",
        ]
    )
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    _import_structure["models.dpr"].extend(
        [
            "DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPRContextEncoder",
            "DPRPretrainedContextEncoder",
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            "DPRPreTrainedModel",
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            "DPRPretrainedQuestionEncoder",
            "DPRPretrainedReader",
            "DPRQuestionEncoder",
            "DPRReader",
        ]
    )
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    _import_structure["models.dpt"].extend(
        [
            "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPTForDepthEstimation",
            "DPTForSemanticSegmentation",
            "DPTModel",
            "DPTPreTrainedModel",
        ]
    )
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    _import_structure["models.efficientformer"].extend(
        [
            "EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientFormerForImageClassification",
            "EfficientFormerForImageClassificationWithTeacher",
            "EfficientFormerModel",
            "EfficientFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.efficientnet"].extend(
        [
            "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientNetForImageClassification",
            "EfficientNetModel",
            "EfficientNetPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
            "ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ElectraForCausalLM",
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            "ElectraForMaskedLM",
            "ElectraForMultipleChoice",
            "ElectraForPreTraining",
            "ElectraForQuestionAnswering",
            "ElectraForSequenceClassification",
            "ElectraForTokenClassification",
            "ElectraModel",
            "ElectraPreTrainedModel",
            "load_tf_weights_in_electra",
        ]
    )
    _import_structure["models.encoder_decoder"].append("EncoderDecoderModel")
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    _import_structure["models.ernie"].extend(
        [
            "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieForCausalLM",
            "ErnieForMaskedLM",
            "ErnieForMultipleChoice",
            "ErnieForNextSentencePrediction",
            "ErnieForPreTraining",
            "ErnieForQuestionAnswering",
            "ErnieForSequenceClassification",
            "ErnieForTokenClassification",
            "ErnieModel",
            "ErniePreTrainedModel",
        ]
    )
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    _import_structure["models.ernie_m"].extend(
        [
            "ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieMForInformationExtraction",
            "ErnieMForMultipleChoice",
            "ErnieMForQuestionAnswering",
            "ErnieMForSequenceClassification",
            "ErnieMForTokenClassification",
            "ErnieMModel",
            "ErnieMPreTrainedModel",
        ]
    )
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    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "EsmFoldPreTrainedModel",
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            "EsmForMaskedLM",
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            "EsmForProteinFolding",
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            "EsmForSequenceClassification",
            "EsmForTokenClassification",
            "EsmModel",
            "EsmPreTrainedModel",
        ]
    )
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    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
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            "FlaubertPreTrainedModel",
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            "FlaubertWithLMHeadModel",
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        ]
    )
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    _import_structure["models.flava"].extend(
        [
            "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlavaForPreTraining",
            "FlavaImageCodebook",
            "FlavaImageModel",
            "FlavaModel",
            "FlavaMultimodalModel",
            "FlavaPreTrainedModel",
            "FlavaTextModel",
        ]
    )
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    _import_structure["models.fnet"].extend(
        [
            "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FNetForMaskedLM",
            "FNetForMultipleChoice",
            "FNetForNextSentencePrediction",
            "FNetForPreTraining",
            "FNetForQuestionAnswering",
            "FNetForSequenceClassification",
            "FNetForTokenClassification",
            "FNetLayer",
            "FNetModel",
            "FNetPreTrainedModel",
        ]
    )
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    _import_structure["models.focalnet"].extend(
        [
            "FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "FocalNetBackbone",
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            "FocalNetForImageClassification",
            "FocalNetForMaskedImageModeling",
            "FocalNetModel",
            "FocalNetPreTrainedModel",
        ]
    )
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    _import_structure["models.fsmt"].extend(["FSMTForConditionalGeneration", "FSMTModel", "PretrainedFSMTModel"])
    _import_structure["models.funnel"].extend(
        [
            "FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FunnelBaseModel",
            "FunnelForMaskedLM",
            "FunnelForMultipleChoice",
            "FunnelForPreTraining",
            "FunnelForQuestionAnswering",
            "FunnelForSequenceClassification",
            "FunnelForTokenClassification",
            "FunnelModel",
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            "FunnelPreTrainedModel",
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            "load_tf_weights_in_funnel",
        ]
    )
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    _import_structure["models.git"].extend(
        [
            "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GitForCausalLM",
            "GitModel",
            "GitPreTrainedModel",
            "GitVisionModel",
        ]
    )
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    _import_structure["models.glpn"].extend(
        [
            "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GLPNForDepthEstimation",
            "GLPNModel",
            "GLPNPreTrainedModel",
        ]
    )
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    _import_structure["models.gpt2"].extend(
        [
            "GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPT2DoubleHeadsModel",
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            "GPT2ForQuestionAnswering",
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            "GPT2ForSequenceClassification",
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            "GPT2ForTokenClassification",
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            "GPT2LMHeadModel",
            "GPT2Model",
            "GPT2PreTrainedModel",
            "load_tf_weights_in_gpt2",
        ]
    )
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    _import_structure["models.gpt_bigcode"].extend(
        [
            "GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTBigCodeForCausalLM",
            "GPTBigCodeForSequenceClassification",
            "GPTBigCodeForTokenClassification",
            "GPTBigCodeModel",
            "GPTBigCodePreTrainedModel",
        ]
    )
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    _import_structure["models.gpt_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
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            "GPTNeoForQuestionAnswering",
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            "GPTNeoForSequenceClassification",
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            "GPTNeoForTokenClassification",
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            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
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    _import_structure["models.gpt_neox"].extend(
        [
            "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXForCausalLM",
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            "GPTNeoXForQuestionAnswering",
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            "GPTNeoXForSequenceClassification",
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            "GPTNeoXForTokenClassification",
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            "GPTNeoXLayer",
            "GPTNeoXModel",
            "GPTNeoXPreTrainedModel",
        ]
    )
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    _import_structure["models.gpt_neox_japanese"].extend(
        [
            "GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXJapaneseForCausalLM",
            "GPTNeoXJapaneseLayer",
            "GPTNeoXJapaneseModel",
            "GPTNeoXJapanesePreTrainedModel",
        ]
    )
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    _import_structure["models.gptj"].extend(
        [
            "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTJForCausalLM",
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            "GPTJForQuestionAnswering",
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            "GPTJForSequenceClassification",
            "GPTJModel",
            "GPTJPreTrainedModel",
        ]
    )
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    _import_structure["models.gptsan_japanese"].extend(
        [
            "GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTSanJapaneseForConditionalGeneration",
            "GPTSanJapaneseModel",
            "GPTSanJapanesePreTrainedModel",
        ]
    )
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    _import_structure["models.graphormer"].extend(
        [
            "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GraphormerForGraphClassification",
            "GraphormerModel",
            "GraphormerPreTrainedModel",
        ]
    )
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    _import_structure["models.groupvit"].extend(
        [
            "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GroupViTModel",
            "GroupViTPreTrainedModel",
            "GroupViTTextModel",
            "GroupViTVisionModel",
        ]
    )
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    _import_structure["models.hubert"].extend(
        [
            "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "HubertForCTC",
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            "HubertForSequenceClassification",
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            "HubertModel",
            "HubertPreTrainedModel",
        ]
    )
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    _import_structure["models.ibert"].extend(
        [
            "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IBertForMaskedLM",
            "IBertForMultipleChoice",
            "IBertForQuestionAnswering",
            "IBertForSequenceClassification",
            "IBertForTokenClassification",
            "IBertModel",
            "IBertPreTrainedModel",
        ]
    )
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    _import_structure["models.imagegpt"].extend(
        [
            "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ImageGPTForCausalImageModeling",
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            "ImageGPTForImageClassification",
            "ImageGPTModel",
            "ImageGPTPreTrainedModel",
            "load_tf_weights_in_imagegpt",
        ]
    )
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    _import_structure["models.informer"].extend(
        [
            "INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "InformerForPrediction",
            "InformerModel",
            "InformerPreTrainedModel",
        ]
    )
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    _import_structure["models.jukebox"].extend(
        [
            "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "JukeboxModel",
            "JukeboxPreTrainedModel",
            "JukeboxPrior",
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            "JukeboxVQVAE",
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        ]
    )
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    _import_structure["models.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
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            "LayoutLMForQuestionAnswering",
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            "LayoutLMForSequenceClassification",
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            "LayoutLMForTokenClassification",
            "LayoutLMModel",
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            "LayoutLMPreTrainedModel",
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        ]
    )
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    _import_structure["models.layoutlmv2"].extend(
        [
            "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv2ForQuestionAnswering",
            "LayoutLMv2ForSequenceClassification",
            "LayoutLMv2ForTokenClassification",
            "LayoutLMv2Model",
            "LayoutLMv2PreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlmv3"].extend(
        [
            "LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv3ForQuestionAnswering",
            "LayoutLMv3ForSequenceClassification",
            "LayoutLMv3ForTokenClassification",
            "LayoutLMv3Model",
            "LayoutLMv3PreTrainedModel",
        ]
    )
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    _import_structure["models.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
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            "LEDPreTrainedModel",
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        ]
    )
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    _import_structure["models.levit"].extend(
        [
            "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LevitForImageClassification",
            "LevitForImageClassificationWithTeacher",
            "LevitModel",
            "LevitPreTrainedModel",
        ]
    )
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    _import_structure["models.lilt"].extend(
        [
            "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LiltForQuestionAnswering",
            "LiltForSequenceClassification",
            "LiltForTokenClassification",
            "LiltModel",
            "LiltPreTrainedModel",
        ]
    )
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    _import_structure["models.llama"].extend(
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        ["LlamaForCausalLM", "LlamaForSequenceClassification", "LlamaModel", "LlamaPreTrainedModel"]
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    )
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    _import_structure["models.longformer"].extend(
        [
            "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongformerForMaskedLM",
            "LongformerForMultipleChoice",
            "LongformerForQuestionAnswering",
            "LongformerForSequenceClassification",
            "LongformerForTokenClassification",
            "LongformerModel",
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            "LongformerPreTrainedModel",
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            "LongformerSelfAttention",
        ]
    )
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    _import_structure["models.longt5"].extend(
        [
            "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongT5EncoderModel",
            "LongT5ForConditionalGeneration",
            "LongT5Model",
            "LongT5PreTrainedModel",
        ]
    )
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    _import_structure["models.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
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            "LukeForMaskedLM",
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            "LukeForMultipleChoice",
            "LukeForQuestionAnswering",
            "LukeForSequenceClassification",
            "LukeForTokenClassification",
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            "LukeModel",
            "LukePreTrainedModel",
        ]
    )
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    _import_structure["models.lxmert"].extend(
        [
            "LxmertEncoder",
            "LxmertForPreTraining",
            "LxmertForQuestionAnswering",
            "LxmertModel",
            "LxmertPreTrainedModel",
            "LxmertVisualFeatureEncoder",
            "LxmertXLayer",
        ]
    )
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    _import_structure["models.m2m_100"].extend(
        [
            "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
            "M2M100ForConditionalGeneration",
            "M2M100Model",
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            "M2M100PreTrainedModel",
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        ]
    )
    _import_structure["models.marian"].extend(["MarianForCausalLM", "MarianModel", "MarianMTModel"])
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    _import_structure["models.markuplm"].extend(
        [
            "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MarkupLMForQuestionAnswering",
            "MarkupLMForSequenceClassification",
            "MarkupLMForTokenClassification",
            "MarkupLMModel",
            "MarkupLMPreTrainedModel",
        ]
    )
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    _import_structure["models.mask2former"].extend(
        [
            "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Mask2FormerForUniversalSegmentation",
            "Mask2FormerModel",
            "Mask2FormerPreTrainedModel",
        ]
    )
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    _import_structure["models.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
            "MaskFormerSwinBackbone",
        ]
    )
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    _import_structure["models.mbart"].extend(
        [
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            "MBartForCausalLM",
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            "MBartForConditionalGeneration",
            "MBartForQuestionAnswering",
            "MBartForSequenceClassification",
            "MBartModel",
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            "MBartPreTrainedModel",
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        ]
    )
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    _import_structure["models.mctct"].extend(
        [
            "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MCTCTForCTC",
            "MCTCTModel",
            "MCTCTPreTrainedModel",
        ]
    )
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    _import_structure["models.mega"].extend(
        [
            "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegaForCausalLM",
            "MegaForMaskedLM",
            "MegaForMultipleChoice",
            "MegaForQuestionAnswering",
            "MegaForSequenceClassification",
            "MegaForTokenClassification",
            "MegaModel",
            "MegaPreTrainedModel",
        ]
    )
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    _import_structure["models.megatron_bert"].extend(
        [
            "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegatronBertForCausalLM",
            "MegatronBertForMaskedLM",
            "MegatronBertForMultipleChoice",
            "MegatronBertForNextSentencePrediction",
            "MegatronBertForPreTraining",
            "MegatronBertForQuestionAnswering",
            "MegatronBertForSequenceClassification",
            "MegatronBertForTokenClassification",
            "MegatronBertModel",
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            "MegatronBertPreTrainedModel",
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        ]
    )
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    _import_structure["models.mgp_str"].extend(
        [
            "MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MgpstrForSceneTextRecognition",
            "MgpstrModel",
            "MgpstrPreTrainedModel",
        ]
    )
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    _import_structure["models.mmbt"].extend(["MMBTForClassification", "MMBTModel", "ModalEmbeddings"])
    _import_structure["models.mobilebert"].extend(
        [
            "MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileBertForMaskedLM",
            "MobileBertForMultipleChoice",
            "MobileBertForNextSentencePrediction",
            "MobileBertForPreTraining",
            "MobileBertForQuestionAnswering",
            "MobileBertForSequenceClassification",
            "MobileBertForTokenClassification",
            "MobileBertLayer",
            "MobileBertModel",
            "MobileBertPreTrainedModel",
            "load_tf_weights_in_mobilebert",
        ]
    )
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    _import_structure["models.mobilenet_v1"].extend(
        [
            "MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV1ForImageClassification",
            "MobileNetV1Model",
            "MobileNetV1PreTrainedModel",
            "load_tf_weights_in_mobilenet_v1",
        ]
    )
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    _import_structure["models.mobilenet_v2"].extend(
        [
            "MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV2ForImageClassification",
            "MobileNetV2ForSemanticSegmentation",
            "MobileNetV2Model",
            "MobileNetV2PreTrainedModel",
            "load_tf_weights_in_mobilenet_v2",
        ]
    )
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    _import_structure["models.mobilevit"].extend(
        [
            "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTForImageClassification",
            "MobileViTForSemanticSegmentation",
            "MobileViTModel",
            "MobileViTPreTrainedModel",
        ]
    )
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    _import_structure["models.mobilevitv2"].extend(
        [
            "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTV2ForImageClassification",
            "MobileViTV2ForSemanticSegmentation",
            "MobileViTV2Model",
            "MobileViTV2PreTrainedModel",
        ]
    )
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    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
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    _import_structure["models.mt5"].extend(
        ["MT5EncoderModel", "MT5ForConditionalGeneration", "MT5Model", "MT5PreTrainedModel"]
    )
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    _import_structure["models.mvp"].extend(
        [
            "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MvpForCausalLM",
            "MvpForConditionalGeneration",
            "MvpForQuestionAnswering",
            "MvpForSequenceClassification",
            "MvpModel",
            "MvpPreTrainedModel",
        ]
    )
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    _import_structure["models.nat"].extend(
        [
            "NAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "NatBackbone",
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            "NatForImageClassification",
            "NatModel",
            "NatPreTrainedModel",
        ]
    )
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    _import_structure["models.nezha"].extend(
        [
            "NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NezhaForMaskedLM",
            "NezhaForMultipleChoice",
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            "NezhaForNextSentencePrediction",
            "NezhaForPreTraining",
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            "NezhaForQuestionAnswering",
            "NezhaForSequenceClassification",
            "NezhaForTokenClassification",
            "NezhaModel",
            "NezhaPreTrainedModel",
        ]
    )
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    _import_structure["models.nllb_moe"].extend(
        [
            "NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NllbMoeForConditionalGeneration",
            "NllbMoeModel",
            "NllbMoePreTrainedModel",
            "NllbMoeSparseMLP",
            "NllbMoeTop2Router",
        ]
    )
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    _import_structure["models.nystromformer"].extend(
        [
            "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NystromformerForMaskedLM",
            "NystromformerForMultipleChoice",
            "NystromformerForQuestionAnswering",
            "NystromformerForSequenceClassification",
            "NystromformerForTokenClassification",
            "NystromformerLayer",
            "NystromformerModel",
            "NystromformerPreTrainedModel",
        ]
    )
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    _import_structure["models.oneformer"].extend(
        [
            "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OneFormerForUniversalSegmentation",
            "OneFormerModel",
            "OneFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.open_llama"].extend(
        ["OpenLlamaForCausalLM", "OpenLlamaForSequenceClassification", "OpenLlamaModel", "OpenLlamaPreTrainedModel"]
    )
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    _import_structure["models.openai"].extend(
        [
            "OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OpenAIGPTDoubleHeadsModel",
            "OpenAIGPTForSequenceClassification",
            "OpenAIGPTLMHeadModel",
            "OpenAIGPTModel",
            "OpenAIGPTPreTrainedModel",
            "load_tf_weights_in_openai_gpt",
        ]
    )
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    _import_structure["models.opt"].extend(
        [
            "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OPTForCausalLM",
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            "OPTForQuestionAnswering",
            "OPTForSequenceClassification",
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            "OPTModel",
            "OPTPreTrainedModel",
        ]
    )
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    _import_structure["models.owlvit"].extend(
        [
            "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "OwlViTForObjectDetection",
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            "OwlViTModel",
            "OwlViTPreTrainedModel",
            "OwlViTTextModel",
            "OwlViTVisionModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
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        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
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    )
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    _import_structure["models.pegasus_x"].extend(
        [
            "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PegasusXForConditionalGeneration",
            "PegasusXModel",
            "PegasusXPreTrainedModel",
        ]
    )
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    _import_structure["models.perceiver"].extend(
        [
            "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PerceiverForImageClassificationConvProcessing",
            "PerceiverForImageClassificationFourier",
            "PerceiverForImageClassificationLearned",
            "PerceiverForMaskedLM",
            "PerceiverForMultimodalAutoencoding",
            "PerceiverForOpticalFlow",
            "PerceiverForSequenceClassification",
            "PerceiverLayer",
            "PerceiverModel",
            "PerceiverPreTrainedModel",
        ]
    )
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    _import_structure["models.pix2struct"].extend(
        [
            "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Pix2StructForConditionalGeneration",
            "Pix2StructPreTrainedModel",
            "Pix2StructTextModel",
            "Pix2StructVisionModel",
        ]
    )
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    _import_structure["models.plbart"].extend(
        [
            "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PLBartForCausalLM",
            "PLBartForConditionalGeneration",
            "PLBartForSequenceClassification",
            "PLBartModel",
            "PLBartPreTrainedModel",
        ]
    )
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    _import_structure["models.poolformer"].extend(
        [
            "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PoolFormerForImageClassification",
            "PoolFormerModel",
            "PoolFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.prophetnet"].extend(
        [
            "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ProphetNetDecoder",
            "ProphetNetEncoder",
            "ProphetNetForCausalLM",
            "ProphetNetForConditionalGeneration",
            "ProphetNetModel",
            "ProphetNetPreTrainedModel",
        ]
    )
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    _import_structure["models.qdqbert"].extend(
        [
            "QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "QDQBertForMaskedLM",
            "QDQBertForMultipleChoice",
            "QDQBertForNextSentencePrediction",
            "QDQBertForQuestionAnswering",
            "QDQBertForSequenceClassification",
            "QDQBertForTokenClassification",
            "QDQBertLayer",
            "QDQBertLMHeadModel",
            "QDQBertModel",
            "QDQBertPreTrainedModel",
            "load_tf_weights_in_qdqbert",
        ]
    )
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    _import_structure["models.rag"].extend(
        ["RagModel", "RagPreTrainedModel", "RagSequenceForGeneration", "RagTokenForGeneration"]
    )
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    _import_structure["models.realm"].extend(
        [
            "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RealmEmbedder",
            "RealmForOpenQA",
            "RealmKnowledgeAugEncoder",
            "RealmPreTrainedModel",
            "RealmReader",
            "RealmRetriever",
            "RealmScorer",
            "load_tf_weights_in_realm",
        ]
    )
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    _import_structure["models.reformer"].extend(
        [
            "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ReformerAttention",
            "ReformerForMaskedLM",
            "ReformerForQuestionAnswering",
            "ReformerForSequenceClassification",
            "ReformerLayer",
            "ReformerModel",
            "ReformerModelWithLMHead",
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            "ReformerPreTrainedModel",
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        ]
    )
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    _import_structure["models.regnet"].extend(
        [
            "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RegNetForImageClassification",
            "RegNetModel",
            "RegNetPreTrainedModel",
        ]
    )
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    _import_structure["models.rembert"].extend(
        [
            "REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RemBertForCausalLM",
            "RemBertForMaskedLM",
            "RemBertForMultipleChoice",
            "RemBertForQuestionAnswering",
            "RemBertForSequenceClassification",
            "RemBertForTokenClassification",
            "RemBertLayer",
            "RemBertModel",
            "RemBertPreTrainedModel",
            "load_tf_weights_in_rembert",
        ]
    )
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    _import_structure["models.resnet"].extend(
        [
            "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "ResNetBackbone",
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            "ResNetForImageClassification",
            "ResNetModel",
            "ResNetPreTrainedModel",
        ]
    )
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    _import_structure["models.retribert"].extend(
        ["RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "RetriBertModel", "RetriBertPreTrainedModel"]
    )
    _import_structure["models.roberta"].extend(
        [
            "ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaForCausalLM",
            "RobertaForMaskedLM",
            "RobertaForMultipleChoice",
            "RobertaForQuestionAnswering",
            "RobertaForSequenceClassification",
            "RobertaForTokenClassification",
            "RobertaModel",
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            "RobertaPreTrainedModel",
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        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaPreLayerNormForCausalLM",
            "RobertaPreLayerNormForMaskedLM",
            "RobertaPreLayerNormForMultipleChoice",
            "RobertaPreLayerNormForQuestionAnswering",
            "RobertaPreLayerNormForSequenceClassification",
            "RobertaPreLayerNormForTokenClassification",
            "RobertaPreLayerNormModel",
            "RobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roc_bert"].extend(
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        [
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            "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoCBertForCausalLM",
            "RoCBertForMaskedLM",
            "RoCBertForMultipleChoice",
            "RoCBertForPreTraining",
            "RoCBertForQuestionAnswering",
            "RoCBertForSequenceClassification",
            "RoCBertForTokenClassification",
            "RoCBertLayer",
            "RoCBertModel",
            "RoCBertPreTrainedModel",
            "load_tf_weights_in_roc_bert",
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        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoFormerForCausalLM",
            "RoFormerForMaskedLM",
            "RoFormerForMultipleChoice",
            "RoFormerForQuestionAnswering",
            "RoFormerForSequenceClassification",
            "RoFormerForTokenClassification",
            "RoFormerLayer",
            "RoFormerModel",
            "RoFormerPreTrainedModel",
            "load_tf_weights_in_roformer",
        ]
    )
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    _import_structure["models.rwkv"].extend(
        [
            "RWKV_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RwkvForCausalLM",
            "RwkvModel",
            "RwkvPreTrainedModel",
        ]
    )
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    _import_structure["models.sam"].extend(
        [
            "SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SamModel",
            "SamPreTrainedModel",
        ]
    )
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    _import_structure["models.segformer"].extend(
        [
            "SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SegformerDecodeHead",
            "SegformerForImageClassification",
            "SegformerForSemanticSegmentation",
            "SegformerLayer",
            "SegformerModel",
            "SegformerPreTrainedModel",
        ]
    )
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    _import_structure["models.sew"].extend(
        [
            "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWForCTC",
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            "SEWForSequenceClassification",
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            "SEWModel",
            "SEWPreTrainedModel",
        ]
    )
    _import_structure["models.sew_d"].extend(
        [
            "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWDForCTC",
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            "SEWDForSequenceClassification",
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            "SEWDModel",
            "SEWDPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_encoder_decoder"].extend(["SpeechEncoderDecoderModel"])
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    _import_structure["models.speech_to_text"].extend(
        [
            "SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Speech2TextForConditionalGeneration",
            "Speech2TextModel",
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            "Speech2TextPreTrainedModel",
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        ]
    )
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    _import_structure["models.speech_to_text_2"].extend(["Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel"])
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    _import_structure["models.speecht5"].extend(
        [
            "SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SpeechT5ForSpeechToSpeech",
            "SpeechT5ForSpeechToText",
            "SpeechT5ForTextToSpeech",
            "SpeechT5HifiGan",
            "SpeechT5Model",
            "SpeechT5PreTrainedModel",
        ]
    )
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    _import_structure["models.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "SplinterForPreTraining",
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            "SplinterForQuestionAnswering",
            "SplinterLayer",
            "SplinterModel",
            "SplinterPreTrainedModel",
        ]
    )
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    _import_structure["models.squeezebert"].extend(
        [
            "SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SqueezeBertForMaskedLM",
            "SqueezeBertForMultipleChoice",
            "SqueezeBertForQuestionAnswering",
            "SqueezeBertForSequenceClassification",
            "SqueezeBertForTokenClassification",
            "SqueezeBertModel",
            "SqueezeBertModule",
            "SqueezeBertPreTrainedModel",
        ]
    )
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    _import_structure["models.swiftformer"].extend(
        [
            "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwiftFormerForImageClassification",
            "SwiftFormerModel",
            "SwiftFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "SwinBackbone",
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            "SwinForImageClassification",
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            "SwinForMaskedImageModeling",
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            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
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    _import_structure["models.swin2sr"].extend(
        [
            "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swin2SRForImageSuperResolution",
            "Swin2SRModel",
            "Swin2SRPreTrainedModel",
        ]
    )
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    _import_structure["models.swinv2"].extend(
        [
            "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swinv2ForImageClassification",
            "Swinv2ForMaskedImageModeling",
            "Swinv2Model",
            "Swinv2PreTrainedModel",
        ]
    )
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    _import_structure["models.switch_transformers"].extend(
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        [
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            "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwitchTransformersEncoderModel",
            "SwitchTransformersForConditionalGeneration",
            "SwitchTransformersModel",
            "SwitchTransformersPreTrainedModel",
            "SwitchTransformersSparseMLP",
            "SwitchTransformersTop1Router",
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        ]
    )
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    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
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    _import_structure["models.table_transformer"].extend(
        [
            "TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TableTransformerForObjectDetection",
            "TableTransformerModel",
            "TableTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.tapas"].extend(
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        [
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            "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TapasForMaskedLM",
            "TapasForQuestionAnswering",
            "TapasForSequenceClassification",
            "TapasModel",
            "TapasPreTrainedModel",
            "load_tf_weights_in_tapas",
        ]
    )
    _import_structure["models.time_series_transformer"].extend(
        [
            "TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimeSeriesTransformerForPrediction",
            "TimeSeriesTransformerModel",
            "TimeSeriesTransformerPreTrainedModel",
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        ]
    )
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    _import_structure["models.timesformer"].extend(
        [
            "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimesformerForVideoClassification",
            "TimesformerModel",
            "TimesformerPreTrainedModel",
        ]
    )
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    _import_structure["models.timm_backbone"].extend(["TimmBackbone"])
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    _import_structure["models.trajectory_transformer"].extend(
        [
            "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TrajectoryTransformerModel",
            "TrajectoryTransformerPreTrainedModel",
        ]
    )
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    _import_structure["models.transfo_xl"].extend(
        [
            "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AdaptiveEmbedding",
            "TransfoXLForSequenceClassification",
            "TransfoXLLMHeadModel",
            "TransfoXLModel",
            "TransfoXLPreTrainedModel",
            "load_tf_weights_in_transfo_xl",
        ]
    )
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    _import_structure["models.trocr"].extend(
        ["TROCR_PRETRAINED_MODEL_ARCHIVE_LIST", "TrOCRForCausalLM", "TrOCRPreTrainedModel"]
    )
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    _import_structure["models.tvlt"].extend(
        [
            "TVLT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TvltForAudioVisualClassification",
            "TvltForPreTraining",
            "TvltModel",
            "TvltPreTrainedModel",
        ]
    )
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    _import_structure["models.unispeech"].extend(
        [
            "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
            "UniSpeechForCTC",
            "UniSpeechForPreTraining",
            "UniSpeechForSequenceClassification",
            "UniSpeechModel",
            "UniSpeechPreTrainedModel",
        ]
    )
    _import_structure["models.unispeech_sat"].extend(
        [
            "UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "UniSpeechSatForAudioFrameClassification",
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            "UniSpeechSatForCTC",
            "UniSpeechSatForPreTraining",
            "UniSpeechSatForSequenceClassification",
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            "UniSpeechSatForXVector",
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            "UniSpeechSatModel",
            "UniSpeechSatPreTrainedModel",
        ]
    )
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    _import_structure["models.upernet"].extend(
        [
            "UperNetForSemanticSegmentation",
            "UperNetPreTrainedModel",
        ]
    )
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    _import_structure["models.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
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    _import_structure["models.videomae"].extend(
        [
            "VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VideoMAEForPreTraining",
            "VideoMAEForVideoClassification",
            "VideoMAEModel",
            "VideoMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
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            "ViltForTokenClassification",
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            "ViltLayer",
            "ViltModel",
            "ViltPreTrainedModel",
        ]
    )
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    _import_structure["models.vision_encoder_decoder"].extend(["VisionEncoderDecoderModel"])
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    _import_structure["models.vision_text_dual_encoder"].extend(["VisionTextDualEncoderModel"])
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    _import_structure["models.visual_bert"].extend(
        [
            "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VisualBertForMultipleChoice",
            "VisualBertForPreTraining",
            "VisualBertForQuestionAnswering",
            "VisualBertForRegionToPhraseAlignment",
            "VisualBertForVisualReasoning",
            "VisualBertLayer",
            "VisualBertModel",
            "VisualBertPreTrainedModel",
        ]
    )
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    _import_structure["models.vit"].extend(
        [
            "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTForImageClassification",
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            "ViTForMaskedImageModeling",
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            "ViTModel",
            "ViTPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_hybrid"].extend(
        [
            "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTHybridForImageClassification",
            "ViTHybridModel",
            "ViTHybridPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_msn"].extend(
        [
            "VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMSNForImageClassification",
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            "ViTMSNModel",
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            "ViTMSNPreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2"].extend(
        [
            "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "Wav2Vec2ForAudioFrameClassification",
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            "Wav2Vec2ForCTC",
            "Wav2Vec2ForMaskedLM",
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            "Wav2Vec2ForPreTraining",
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            "Wav2Vec2ForSequenceClassification",
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            "Wav2Vec2ForXVector",
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            "Wav2Vec2Model",
            "Wav2Vec2PreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2_conformer"].extend(
        [
            "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Wav2Vec2ConformerForAudioFrameClassification",
            "Wav2Vec2ConformerForCTC",
            "Wav2Vec2ConformerForPreTraining",
            "Wav2Vec2ConformerForSequenceClassification",
            "Wav2Vec2ConformerForXVector",
            "Wav2Vec2ConformerModel",
            "Wav2Vec2ConformerPreTrainedModel",
        ]
    )
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    _import_structure["models.wavlm"].extend(
        [
            "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "WavLMForAudioFrameClassification",
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            "WavLMForCTC",
            "WavLMForSequenceClassification",
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            "WavLMForXVector",
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            "WavLMModel",
            "WavLMPreTrainedModel",
        ]
    )
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    _import_structure["models.whisper"].extend(
        [
            "WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "WhisperForAudioClassification",
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            "WhisperForConditionalGeneration",
            "WhisperModel",
            "WhisperPreTrainedModel",
        ]
    )
    _import_structure["models.x_clip"].extend(
        [
            "XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XCLIPModel",
            "XCLIPPreTrainedModel",
            "XCLIPTextModel",
            "XCLIPVisionModel",
        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XGLMForCausalLM",
            "XGLMModel",
            "XGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm"].extend(
        [
            "XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMForMultipleChoice",
            "XLMForQuestionAnswering",
            "XLMForQuestionAnsweringSimple",
            "XLMForSequenceClassification",
            "XLMForTokenClassification",
            "XLMModel",
            "XLMPreTrainedModel",
            "XLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_prophetnet"].extend(
        [
            "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMProphetNetDecoder",
            "XLMProphetNetEncoder",
            "XLMProphetNetForCausalLM",
            "XLMProphetNetForConditionalGeneration",
            "XLMProphetNetModel",
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            "XLMProphetNetPreTrainedModel",
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        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
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            "XLMRobertaPreTrainedModel",
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        ]
    )
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    _import_structure["models.xlm_roberta_xl"].extend(
        [
            "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaXLForCausalLM",
            "XLMRobertaXLForMaskedLM",
            "XLMRobertaXLForMultipleChoice",
            "XLMRobertaXLForQuestionAnswering",
            "XLMRobertaXLForSequenceClassification",
            "XLMRobertaXLForTokenClassification",
            "XLMRobertaXLModel",
            "XLMRobertaXLPreTrainedModel",
        ]
    )
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    _import_structure["models.xlnet"].extend(
        [
            "XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLNetForMultipleChoice",
            "XLNetForQuestionAnswering",
            "XLNetForQuestionAnsweringSimple",
            "XLNetForSequenceClassification",
            "XLNetForTokenClassification",
            "XLNetLMHeadModel",
            "XLNetModel",
            "XLNetPreTrainedModel",
            "load_tf_weights_in_xlnet",
        ]
    )
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    _import_structure["models.xmod"].extend(
        [
            "XMOD_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XmodForCausalLM",
            "XmodForMaskedLM",
            "XmodForMultipleChoice",
            "XmodForQuestionAnswering",
            "XmodForSequenceClassification",
            "XmodForTokenClassification",
            "XmodModel",
            "XmodPreTrainedModel",
        ]
    )
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    _import_structure["models.yolos"].extend(
        [
            "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YolosForObjectDetection",
            "YolosModel",
            "YolosPreTrainedModel",
        ]
    )
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    _import_structure["models.yoso"].extend(
        [
            "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YosoForMaskedLM",
            "YosoForMultipleChoice",
            "YosoForQuestionAnswering",
            "YosoForSequenceClassification",
            "YosoForTokenClassification",
            "YosoLayer",
            "YosoModel",
            "YosoPreTrainedModel",
        ]
    )
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    _import_structure["optimization"] = [
        "Adafactor",
        "AdamW",
        "get_constant_schedule",
        "get_constant_schedule_with_warmup",
        "get_cosine_schedule_with_warmup",
        "get_cosine_with_hard_restarts_schedule_with_warmup",
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        "get_inverse_sqrt_schedule",
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        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
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    _import_structure["pytorch_utils"] = ["Conv1D", "apply_chunking_to_forward", "prune_layer"]
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    _import_structure["sagemaker"] = []
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    _import_structure["time_series_utils"] = []
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    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]

# TensorFlow-backed objects
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try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tf_objects

    _import_structure["utils.dummy_tf_objects"] = [name for name in dir(dummy_tf_objects) if not name.startswith("_")]
else:
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    _import_structure["activations_tf"] = []
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    _import_structure["benchmark.benchmark_args_tf"] = ["TensorFlowBenchmarkArguments"]
    _import_structure["benchmark.benchmark_tf"] = ["TensorFlowBenchmark"]
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    _import_structure["generation"].extend(
        [
            "TFForcedBOSTokenLogitsProcessor",
            "TFForcedEOSTokenLogitsProcessor",
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            "TFGenerationMixin",
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            "TFLogitsProcessor",
            "TFLogitsProcessorList",
            "TFLogitsWarper",
            "TFMinLengthLogitsProcessor",
            "TFNoBadWordsLogitsProcessor",
            "TFNoRepeatNGramLogitsProcessor",
            "TFRepetitionPenaltyLogitsProcessor",
            "TFTemperatureLogitsWarper",
            "TFTopKLogitsWarper",
            "TFTopPLogitsWarper",
            "tf_top_k_top_p_filtering",
        ]
    )
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    _import_structure["generation_tf_utils"] = []
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    _import_structure["keras_callbacks"] = ["KerasMetricCallback", "PushToHubCallback"]
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    _import_structure["modeling_tf_outputs"] = []
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    _import_structure["modeling_tf_utils"] = [
        "TFPreTrainedModel",
        "TFSequenceSummary",
        "TFSharedEmbeddings",
        "shape_list",
    ]
    # TensorFlow models structure
    _import_structure["models.albert"].extend(
        [
            "TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAlbertForMaskedLM",
            "TFAlbertForMultipleChoice",
            "TFAlbertForPreTraining",
            "TFAlbertForQuestionAnswering",
            "TFAlbertForSequenceClassification",
            "TFAlbertForTokenClassification",
            "TFAlbertMainLayer",
            "TFAlbertModel",
            "TFAlbertPreTrainedModel",
        ]
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    )
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    _import_structure["models.auto"].extend(
        [
            "TF_MODEL_FOR_CAUSAL_LM_MAPPING",
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            "TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
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            "TF_MODEL_FOR_MASKED_LM_MAPPING",
            "TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "TF_MODEL_FOR_PRETRAINING_MAPPING",
            "TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
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            "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
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            "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "TF_MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
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            "TF_MODEL_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
            "TFAutoModelForCausalLM",
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            "TFAutoModelForDocumentQuestionAnswering",
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            "TFAutoModelForImageClassification",
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            "TFAutoModelForMaskedLM",
            "TFAutoModelForMultipleChoice",
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            "TFAutoModelForNextSentencePrediction",
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            "TFAutoModelForPreTraining",
            "TFAutoModelForQuestionAnswering",
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            "TFAutoModelForSemanticSegmentation",
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            "TFAutoModelForSeq2SeqLM",
            "TFAutoModelForSequenceClassification",
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            "TFAutoModelForSpeechSeq2Seq",
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            "TFAutoModelForTableQuestionAnswering",
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            "TFAutoModelForTokenClassification",
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            "TFAutoModelForVision2Seq",
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            "TFAutoModelForZeroShotImageClassification",
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            "TFAutoModelWithLMHead",
        ]
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    )
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    _import_structure["models.bart"].extend(
        ["TFBartForConditionalGeneration", "TFBartForSequenceClassification", "TFBartModel", "TFBartPretrainedModel"]
    )
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    _import_structure["models.bert"].extend(
        [
            "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBertEmbeddings",
            "TFBertForMaskedLM",
            "TFBertForMultipleChoice",
            "TFBertForNextSentencePrediction",
            "TFBertForPreTraining",
            "TFBertForQuestionAnswering",
            "TFBertForSequenceClassification",
            "TFBertForTokenClassification",
            "TFBertLMHeadModel",
            "TFBertMainLayer",
            "TFBertModel",
            "TFBertPreTrainedModel",
        ]
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    )
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    _import_structure["models.blenderbot"].extend(
        ["TFBlenderbotForConditionalGeneration", "TFBlenderbotModel", "TFBlenderbotPreTrainedModel"]
    )
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    _import_structure["models.blenderbot_small"].extend(
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        ["TFBlenderbotSmallForConditionalGeneration", "TFBlenderbotSmallModel", "TFBlenderbotSmallPreTrainedModel"]
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    )
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    _import_structure["models.blip"].extend(
        [
            "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBlipForConditionalGeneration",
            "TFBlipForImageTextRetrieval",
            "TFBlipForQuestionAnswering",
            "TFBlipModel",
            "TFBlipPreTrainedModel",
            "TFBlipTextModel",
            "TFBlipVisionModel",
        ]
    )
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    _import_structure["models.camembert"].extend(
        [
            "TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFCamembertForCausalLM",
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            "TFCamembertForMaskedLM",
            "TFCamembertForMultipleChoice",
            "TFCamembertForQuestionAnswering",
            "TFCamembertForSequenceClassification",
            "TFCamembertForTokenClassification",
            "TFCamembertModel",
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            "TFCamembertPreTrainedModel",
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        ]
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    )
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    _import_structure["models.clip"].extend(
        [
            "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCLIPModel",
            "TFCLIPPreTrainedModel",
            "TFCLIPTextModel",
            "TFCLIPVisionModel",
        ]
    )
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    _import_structure["models.convbert"].extend(
        [
            "TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFConvBertForMaskedLM",
            "TFConvBertForMultipleChoice",
            "TFConvBertForQuestionAnswering",
            "TFConvBertForSequenceClassification",
            "TFConvBertForTokenClassification",
            "TFConvBertLayer",
            "TFConvBertModel",
            "TFConvBertPreTrainedModel",
        ]
    )
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    _import_structure["models.convnext"].extend(
        [
            "TFConvNextForImageClassification",
            "TFConvNextModel",
            "TFConvNextPreTrainedModel",
        ]
    )
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    _import_structure["models.ctrl"].extend(
        [
            "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCTRLForSequenceClassification",
            "TFCTRLLMHeadModel",
            "TFCTRLModel",
            "TFCTRLPreTrainedModel",
        ]
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    )
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    _import_structure["models.cvt"].extend(
        [
            "TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCvtForImageClassification",
            "TFCvtModel",
            "TFCvtPreTrainedModel",
        ]
    )
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    _import_structure["models.data2vec"].extend(
        [
            "TFData2VecVisionForImageClassification",
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            "TFData2VecVisionForSemanticSegmentation",
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            "TFData2VecVisionModel",
            "TFData2VecVisionPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta"].extend(
        [
            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaForMaskedLM",
            "TFDebertaForQuestionAnswering",
            "TFDebertaForSequenceClassification",
            "TFDebertaForTokenClassification",
            "TFDebertaModel",
            "TFDebertaPreTrainedModel",
        ]
    )
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    _import_structure["models.deberta_v2"].extend(
        [
            "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaV2ForMaskedLM",
            "TFDebertaV2ForQuestionAnswering",
            "TFDebertaV2ForSequenceClassification",
            "TFDebertaV2ForTokenClassification",
            "TFDebertaV2Model",
            "TFDebertaV2PreTrainedModel",
        ]
    )
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    _import_structure["models.deit"].extend(
        [
            "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDeiTForImageClassification",
            "TFDeiTForImageClassificationWithTeacher",
            "TFDeiTForMaskedImageModeling",
            "TFDeiTModel",
            "TFDeiTPreTrainedModel",
        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDistilBertForMaskedLM",
            "TFDistilBertForMultipleChoice",
            "TFDistilBertForQuestionAnswering",
            "TFDistilBertForSequenceClassification",
            "TFDistilBertForTokenClassification",
            "TFDistilBertMainLayer",
            "TFDistilBertModel",
            "TFDistilBertPreTrainedModel",
        ]
    )
    _import_structure["models.dpr"].extend(
        [
            "TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDPRContextEncoder",
            "TFDPRPretrainedContextEncoder",
            "TFDPRPretrainedQuestionEncoder",
            "TFDPRPretrainedReader",
            "TFDPRQuestionEncoder",
            "TFDPRReader",
        ]
    )
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    _import_structure["models.efficientformer"].extend(
        [
            "TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEfficientFormerForImageClassification",
            "TFEfficientFormerForImageClassificationWithTeacher",
            "TFEfficientFormerModel",
            "TFEfficientFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
            "TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFElectraForMaskedLM",
            "TFElectraForMultipleChoice",
            "TFElectraForPreTraining",
            "TFElectraForQuestionAnswering",
            "TFElectraForSequenceClassification",
            "TFElectraForTokenClassification",
            "TFElectraModel",
            "TFElectraPreTrainedModel",
        ]
    )
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    _import_structure["models.encoder_decoder"].append("TFEncoderDecoderModel")
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    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEsmForMaskedLM",
            "TFEsmForSequenceClassification",
            "TFEsmForTokenClassification",
            "TFEsmModel",
            "TFEsmPreTrainedModel",
        ]
    )
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    _import_structure["models.flaubert"].extend(
        [
            "TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFlaubertForMultipleChoice",
            "TFFlaubertForQuestionAnsweringSimple",
            "TFFlaubertForSequenceClassification",
            "TFFlaubertForTokenClassification",
            "TFFlaubertModel",
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            "TFFlaubertPreTrainedModel",
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            "TFFlaubertWithLMHeadModel",
        ]
    )
    _import_structure["models.funnel"].extend(
        [
            "TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFunnelBaseModel",
            "TFFunnelForMaskedLM",
            "TFFunnelForMultipleChoice",
            "TFFunnelForPreTraining",
            "TFFunnelForQuestionAnswering",
            "TFFunnelForSequenceClassification",
            "TFFunnelForTokenClassification",
            "TFFunnelModel",
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            "TFFunnelPreTrainedModel",
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        ]
    )
    _import_structure["models.gpt2"].extend(
        [
            "TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGPT2DoubleHeadsModel",
            "TFGPT2ForSequenceClassification",
            "TFGPT2LMHeadModel",
            "TFGPT2MainLayer",
            "TFGPT2Model",
            "TFGPT2PreTrainedModel",
        ]
    )
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    _import_structure["models.gptj"].extend(
        [
            "TFGPTJForCausalLM",
            "TFGPTJForQuestionAnswering",
            "TFGPTJForSequenceClassification",
            "TFGPTJModel",
            "TFGPTJPreTrainedModel",
        ]
    )
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    _import_structure["models.groupvit"].extend(
        [
            "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGroupViTModel",
            "TFGroupViTPreTrainedModel",
            "TFGroupViTTextModel",
            "TFGroupViTVisionModel",
        ]
    )
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    _import_structure["models.hubert"].extend(
        [
            "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFHubertForCTC",
            "TFHubertModel",
            "TFHubertPreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlm"].extend(
        [
            "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMForMaskedLM",
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            "TFLayoutLMForQuestionAnswering",
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            "TFLayoutLMForSequenceClassification",
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            "TFLayoutLMForTokenClassification",
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            "TFLayoutLMMainLayer",
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            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
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    _import_structure["models.layoutlmv3"].extend(
        [
            "TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMv3ForQuestionAnswering",
            "TFLayoutLMv3ForSequenceClassification",
            "TFLayoutLMv3ForTokenClassification",
            "TFLayoutLMv3Model",
            "TFLayoutLMv3PreTrainedModel",
        ]
    )
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    _import_structure["models.led"].extend(["TFLEDForConditionalGeneration", "TFLEDModel", "TFLEDPreTrainedModel"])
    _import_structure["models.longformer"].extend(
        [
            "TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLongformerForMaskedLM",
            "TFLongformerForMultipleChoice",
            "TFLongformerForQuestionAnswering",
            "TFLongformerForSequenceClassification",
            "TFLongformerForTokenClassification",
            "TFLongformerModel",
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            "TFLongformerPreTrainedModel",
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            "TFLongformerSelfAttention",
        ]
    )
    _import_structure["models.lxmert"].extend(
        [
            "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLxmertForPreTraining",
            "TFLxmertMainLayer",
            "TFLxmertModel",
            "TFLxmertPreTrainedModel",
            "TFLxmertVisualFeatureEncoder",
        ]
    )
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    _import_structure["models.marian"].extend(["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"])
    _import_structure["models.mbart"].extend(
        ["TFMBartForConditionalGeneration", "TFMBartModel", "TFMBartPreTrainedModel"]
    )
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    _import_structure["models.mobilebert"].extend(
        [
            "TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileBertForMaskedLM",
            "TFMobileBertForMultipleChoice",
            "TFMobileBertForNextSentencePrediction",
            "TFMobileBertForPreTraining",
            "TFMobileBertForQuestionAnswering",
            "TFMobileBertForSequenceClassification",
            "TFMobileBertForTokenClassification",
            "TFMobileBertMainLayer",
            "TFMobileBertModel",
            "TFMobileBertPreTrainedModel",
        ]
    )
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    _import_structure["models.mobilevit"].extend(
        [
            "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileViTForImageClassification",
            "TFMobileViTForSemanticSegmentation",
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            "TFMobileViTModel",
            "TFMobileViTPreTrainedModel",
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        ]
    )
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    _import_structure["models.mpnet"].extend(
        [
            "TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMPNetForMaskedLM",
            "TFMPNetForMultipleChoice",
            "TFMPNetForQuestionAnswering",
            "TFMPNetForSequenceClassification",
            "TFMPNetForTokenClassification",
            "TFMPNetMainLayer",
            "TFMPNetModel",
            "TFMPNetPreTrainedModel",
        ]
    )
    _import_structure["models.mt5"].extend(["TFMT5EncoderModel", "TFMT5ForConditionalGeneration", "TFMT5Model"])
    _import_structure["models.openai"].extend(
        [
            "TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFOpenAIGPTDoubleHeadsModel",
            "TFOpenAIGPTForSequenceClassification",
            "TFOpenAIGPTLMHeadModel",
            "TFOpenAIGPTMainLayer",
            "TFOpenAIGPTModel",
            "TFOpenAIGPTPreTrainedModel",
        ]
    )
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    _import_structure["models.opt"].extend(
        [
            "TFOPTForCausalLM",
            "TFOPTModel",
            "TFOPTPreTrainedModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
        ["TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel"]
    )
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    _import_structure["models.rag"].extend(
        [
            "TFRagModel",
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            "TFRagPreTrainedModel",
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            "TFRagSequenceForGeneration",
            "TFRagTokenForGeneration",
        ]
    )
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    _import_structure["models.regnet"].extend(
        [
            "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRegNetForImageClassification",
            "TFRegNetModel",
            "TFRegNetPreTrainedModel",
        ]
    )
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    _import_structure["models.rembert"].extend(
        [
            "TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRemBertForCausalLM",
            "TFRemBertForMaskedLM",
            "TFRemBertForMultipleChoice",
            "TFRemBertForQuestionAnswering",
            "TFRemBertForSequenceClassification",
            "TFRemBertForTokenClassification",
            "TFRemBertLayer",
            "TFRemBertModel",
            "TFRemBertPreTrainedModel",
        ]
    )
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    _import_structure["models.resnet"].extend(
        [
            "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFResNetForImageClassification",
            "TFResNetModel",
            "TFResNetPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta"].extend(
        [
            "TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFRobertaForCausalLM",
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            "TFRobertaForMaskedLM",
            "TFRobertaForMultipleChoice",
            "TFRobertaForQuestionAnswering",
            "TFRobertaForSequenceClassification",
            "TFRobertaForTokenClassification",
            "TFRobertaMainLayer",
            "TFRobertaModel",
            "TFRobertaPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRobertaPreLayerNormForCausalLM",
            "TFRobertaPreLayerNormForMaskedLM",
            "TFRobertaPreLayerNormForMultipleChoice",
            "TFRobertaPreLayerNormForQuestionAnswering",
            "TFRobertaPreLayerNormForSequenceClassification",
            "TFRobertaPreLayerNormForTokenClassification",
            "TFRobertaPreLayerNormMainLayer",
            "TFRobertaPreLayerNormModel",
            "TFRobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.sam"].extend(
        [
            "TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSamModel",
            "TFSamPreTrainedModel",
        ]
    )
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    _import_structure["models.segformer"].extend(
        [
            "TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSegformerDecodeHead",
            "TFSegformerForImageClassification",
            "TFSegformerForSemanticSegmentation",
            "TFSegformerModel",
            "TFSegformerPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_to_text"].extend(
        [
            "TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSpeech2TextForConditionalGeneration",
            "TFSpeech2TextModel",
            "TFSpeech2TextPreTrainedModel",
        ]
    )
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    _import_structure["models.swin"].extend(
        [
            "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSwinForImageClassification",
            "TFSwinForMaskedImageModeling",
            "TFSwinModel",
            "TFSwinPreTrainedModel",
        ]
    )
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    _import_structure["models.t5"].extend(
        [
            "TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFT5EncoderModel",
            "TFT5ForConditionalGeneration",
            "TFT5Model",
            "TFT5PreTrainedModel",
        ]
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    )
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    _import_structure["models.tapas"].extend(
        [
            "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFTapasForMaskedLM",
            "TFTapasForQuestionAnswering",
            "TFTapasForSequenceClassification",
            "TFTapasModel",
            "TFTapasPreTrainedModel",
        ]
    )
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    _import_structure["models.transfo_xl"].extend(
        [
            "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAdaptiveEmbedding",
            "TFTransfoXLForSequenceClassification",
            "TFTransfoXLLMHeadModel",
            "TFTransfoXLMainLayer",
            "TFTransfoXLModel",
            "TFTransfoXLPreTrainedModel",
        ]
    )
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    _import_structure["models.vision_encoder_decoder"].extend(["TFVisionEncoderDecoderModel"])
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    _import_structure["models.vision_text_dual_encoder"].extend(["TFVisionTextDualEncoderModel"])
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    _import_structure["models.vit"].extend(
        [
            "TFViTForImageClassification",
            "TFViTModel",
            "TFViTPreTrainedModel",
        ]
    )
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    _import_structure["models.vit_mae"].extend(
        [
            "TFViTMAEForPreTraining",
            "TFViTMAEModel",
            "TFViTMAEPreTrainedModel",
        ]
    )
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    _import_structure["models.wav2vec2"].extend(
        [
            "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWav2Vec2ForCTC",
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            "TFWav2Vec2ForSequenceClassification",
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            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
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    _import_structure["models.whisper"].extend(
        [
            "TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWhisperForConditionalGeneration",
            "TFWhisperModel",
            "TFWhisperPreTrainedModel",
        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXGLMForCausalLM",
            "TFXGLMModel",
            "TFXGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm"].extend(
        [
            "TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLMForMultipleChoice",
            "TFXLMForQuestionAnsweringSimple",
            "TFXLMForSequenceClassification",
            "TFXLMForTokenClassification",
            "TFXLMMainLayer",
            "TFXLMModel",
            "TFXLMPreTrainedModel",
            "TFXLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "TFXLMRobertaForCausalLM",
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            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
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            "TFXLMRobertaPreTrainedModel",
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        ]
    )
    _import_structure["models.xlnet"].extend(
        [
            "TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLNetForMultipleChoice",
            "TFXLNetForQuestionAnsweringSimple",
            "TFXLNetForSequenceClassification",
            "TFXLNetForTokenClassification",
            "TFXLNetLMHeadModel",
            "TFXLNetMainLayer",
            "TFXLNetModel",
            "TFXLNetPreTrainedModel",
        ]
    )
    _import_structure["optimization_tf"] = ["AdamWeightDecay", "GradientAccumulator", "WarmUp", "create_optimizer"]
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    _import_structure["tf_utils"] = []
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    _import_structure["trainer_tf"] = ["TFTrainer"]
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# FLAX-backed objects
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try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_flax_objects

    _import_structure["utils.dummy_flax_objects"] = [
        name for name in dir(dummy_flax_objects) if not name.startswith("_")
    ]
else:
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    _import_structure["generation"].extend(
        [
            "FlaxForcedBOSTokenLogitsProcessor",
            "FlaxForcedEOSTokenLogitsProcessor",
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            "FlaxGenerationMixin",
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            "FlaxLogitsProcessor",
            "FlaxLogitsProcessorList",
            "FlaxLogitsWarper",
            "FlaxMinLengthLogitsProcessor",
            "FlaxTemperatureLogitsWarper",
            "FlaxTopKLogitsWarper",
            "FlaxTopPLogitsWarper",
        ]
    )
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    _import_structure["generation_flax_utils"] = []
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    _import_structure["modeling_flax_outputs"] = []
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    _import_structure["modeling_flax_utils"] = ["FlaxPreTrainedModel"]
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    _import_structure["models.albert"].extend(
        [
            "FlaxAlbertForMaskedLM",
            "FlaxAlbertForMultipleChoice",
            "FlaxAlbertForPreTraining",
            "FlaxAlbertForQuestionAnswering",
            "FlaxAlbertForSequenceClassification",
            "FlaxAlbertForTokenClassification",
            "FlaxAlbertModel",
            "FlaxAlbertPreTrainedModel",
        ]
    )
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    _import_structure["models.auto"].extend(
        [
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            "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING",
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            "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_MASKED_LM_MAPPING",
            "FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "FLAX_MODEL_FOR_PRETRAINING_MAPPING",
            "FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
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            "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
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            "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
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            "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
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            "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING",
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            "FLAX_MODEL_MAPPING",
            "FlaxAutoModel",
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            "FlaxAutoModelForCausalLM",
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            "FlaxAutoModelForImageClassification",
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            "FlaxAutoModelForMaskedLM",
            "FlaxAutoModelForMultipleChoice",
            "FlaxAutoModelForNextSentencePrediction",
            "FlaxAutoModelForPreTraining",
            "FlaxAutoModelForQuestionAnswering",
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            "FlaxAutoModelForSeq2SeqLM",
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            "FlaxAutoModelForSequenceClassification",
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            "FlaxAutoModelForSpeechSeq2Seq",
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            "FlaxAutoModelForTokenClassification",
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            "FlaxAutoModelForVision2Seq",
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        ]
    )
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    # Flax models structure
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    _import_structure["models.bart"].extend(
        [
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            "FlaxBartDecoderPreTrainedModel",
            "FlaxBartForCausalLM",
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            "FlaxBartForConditionalGeneration",
            "FlaxBartForQuestionAnswering",
            "FlaxBartForSequenceClassification",
            "FlaxBartModel",
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            "FlaxBartPreTrainedModel",
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        ]
    )
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    _import_structure["models.beit"].extend(
        [
            "FlaxBeitForImageClassification",
            "FlaxBeitForMaskedImageModeling",
            "FlaxBeitModel",
            "FlaxBeitPreTrainedModel",
        ]
    )
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    _import_structure["models.bert"].extend(
        [
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            "FlaxBertForCausalLM",
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            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
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    _import_structure["models.big_bird"].extend(
        [
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            "FlaxBigBirdForCausalLM",
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            "FlaxBigBirdForMaskedLM",
            "FlaxBigBirdForMultipleChoice",
            "FlaxBigBirdForPreTraining",
            "FlaxBigBirdForQuestionAnswering",
            "FlaxBigBirdForSequenceClassification",
            "FlaxBigBirdForTokenClassification",
            "FlaxBigBirdModel",
            "FlaxBigBirdPreTrainedModel",
        ]
    )
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    _import_structure["models.blenderbot"].extend(
        ["FlaxBlenderbotForConditionalGeneration", "FlaxBlenderbotModel", "FlaxBlenderbotPreTrainedModel"]
    )
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    _import_structure["models.blenderbot_small"].extend(
        [
            "FlaxBlenderbotSmallForConditionalGeneration",
            "FlaxBlenderbotSmallModel",
            "FlaxBlenderbotSmallPreTrainedModel",
        ]
    )
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    _import_structure["models.clip"].extend(
        [
            "FlaxCLIPModel",
            "FlaxCLIPPreTrainedModel",
            "FlaxCLIPTextModel",
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            "FlaxCLIPTextPreTrainedModel",
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            "FlaxCLIPVisionModel",
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            "FlaxCLIPVisionPreTrainedModel",
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        ]
    )
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    _import_structure["models.distilbert"].extend(
        [
            "FlaxDistilBertForMaskedLM",
            "FlaxDistilBertForMultipleChoice",
            "FlaxDistilBertForQuestionAnswering",
            "FlaxDistilBertForSequenceClassification",
            "FlaxDistilBertForTokenClassification",
            "FlaxDistilBertModel",
            "FlaxDistilBertPreTrainedModel",
        ]
    )
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    _import_structure["models.electra"].extend(
        [
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            "FlaxElectraForCausalLM",
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            "FlaxElectraForMaskedLM",
            "FlaxElectraForMultipleChoice",
            "FlaxElectraForPreTraining",
            "FlaxElectraForQuestionAnswering",
            "FlaxElectraForSequenceClassification",
            "FlaxElectraForTokenClassification",
            "FlaxElectraModel",
            "FlaxElectraPreTrainedModel",
        ]
    )
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    _import_structure["models.encoder_decoder"].append("FlaxEncoderDecoderModel")
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    _import_structure["models.gpt2"].extend(["FlaxGPT2LMHeadModel", "FlaxGPT2Model", "FlaxGPT2PreTrainedModel"])
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    _import_structure["models.gpt_neo"].extend(
        ["FlaxGPTNeoForCausalLM", "FlaxGPTNeoModel", "FlaxGPTNeoPreTrainedModel"]
    )
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    _import_structure["models.gptj"].extend(["FlaxGPTJForCausalLM", "FlaxGPTJModel", "FlaxGPTJPreTrainedModel"])
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    _import_structure["models.longt5"].extend(
        ["FlaxLongT5ForConditionalGeneration", "FlaxLongT5Model", "FlaxLongT5PreTrainedModel"]
    )
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    _import_structure["models.marian"].extend(
        [
            "FlaxMarianModel",
            "FlaxMarianMTModel",
            "FlaxMarianPreTrainedModel",
        ]
    )
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    _import_structure["models.mbart"].extend(
        [
            "FlaxMBartForConditionalGeneration",
            "FlaxMBartForQuestionAnswering",
            "FlaxMBartForSequenceClassification",
            "FlaxMBartModel",
            "FlaxMBartPreTrainedModel",
        ]
    )
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    _import_structure["models.mt5"].extend(["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
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    _import_structure["models.opt"].extend(
        [
            "FlaxOPTForCausalLM",
            "FlaxOPTModel",
            "FlaxOPTPreTrainedModel",
        ]
    )
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    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
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    _import_structure["models.regnet"].extend(
        ["FlaxRegNetForImageClassification", "FlaxRegNetModel", "FlaxRegNetPreTrainedModel"]
    )
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    _import_structure["models.resnet"].extend(
        ["FlaxResNetForImageClassification", "FlaxResNetModel", "FlaxResNetPreTrainedModel"]
    )
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    _import_structure["models.roberta"].extend(
        [
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            "FlaxRobertaForCausalLM",
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            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "FlaxRobertaPreLayerNormForCausalLM",
            "FlaxRobertaPreLayerNormForMaskedLM",
            "FlaxRobertaPreLayerNormForMultipleChoice",
            "FlaxRobertaPreLayerNormForQuestionAnswering",
            "FlaxRobertaPreLayerNormForSequenceClassification",
            "FlaxRobertaPreLayerNormForTokenClassification",
            "FlaxRobertaPreLayerNormModel",
            "FlaxRobertaPreLayerNormPreTrainedModel",
        ]
    )
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    _import_structure["models.roformer"].extend(
        [
            "FlaxRoFormerForMaskedLM",
            "FlaxRoFormerForMultipleChoice",
            "FlaxRoFormerForQuestionAnswering",
            "FlaxRoFormerForSequenceClassification",
            "FlaxRoFormerForTokenClassification",
            "FlaxRoFormerModel",
            "FlaxRoFormerPreTrainedModel",
        ]
    )
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    _import_structure["models.speech_encoder_decoder"].append("FlaxSpeechEncoderDecoderModel")
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    _import_structure["models.t5"].extend(
        ["FlaxT5EncoderModel", "FlaxT5ForConditionalGeneration", "FlaxT5Model", "FlaxT5PreTrainedModel"]
    )
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    _import_structure["models.vision_encoder_decoder"].append("FlaxVisionEncoderDecoderModel")
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    _import_structure["models.vision_text_dual_encoder"].extend(["FlaxVisionTextDualEncoderModel"])
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    _import_structure["models.vit"].extend(["FlaxViTForImageClassification", "FlaxViTModel", "FlaxViTPreTrainedModel"])
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    _import_structure["models.wav2vec2"].extend(
        ["FlaxWav2Vec2ForCTC", "FlaxWav2Vec2ForPreTraining", "FlaxWav2Vec2Model", "FlaxWav2Vec2PreTrainedModel"]
    )
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    _import_structure["models.whisper"].extend(
        [
            "FlaxWhisperForConditionalGeneration",
            "FlaxWhisperModel",
            "FlaxWhisperPreTrainedModel",
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            "FlaxWhisperForAudioClassification",
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        ]
    )
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    _import_structure["models.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm_roberta"].extend(
        [
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            "FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
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            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
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            "FlaxXLMRobertaForCausalLM",
            "FlaxXLMRobertaPreTrainedModel",
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        ]
    )
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# Direct imports for type-checking
if TYPE_CHECKING:
    # Configuration
    from .configuration_utils import PretrainedConfig

    # Data
    from .data import (
        DataProcessor,
        InputExample,
        InputFeatures,
        SingleSentenceClassificationProcessor,
        SquadExample,
        SquadFeatures,
        SquadV1Processor,
        SquadV2Processor,
        glue_compute_metrics,
        glue_convert_examples_to_features,
        glue_output_modes,
        glue_processors,
        glue_tasks_num_labels,
        squad_convert_examples_to_features,
        xnli_compute_metrics,
        xnli_output_modes,
        xnli_processors,
        xnli_tasks_num_labels,
    )
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    from .data.data_collator import (
        DataCollator,
        DataCollatorForLanguageModeling,
        DataCollatorForPermutationLanguageModeling,
        DataCollatorForSeq2Seq,
        DataCollatorForSOP,
        DataCollatorForTokenClassification,
        DataCollatorForWholeWordMask,
        DataCollatorWithPadding,
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        DefaultDataCollator,
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        default_data_collator,
    )
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    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
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    # Feature Extractor
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    from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
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    # Generation
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    from .generation import GenerationConfig, TextIteratorStreamer, TextStreamer
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    from .hf_argparser import HfArgumentParser
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    # Integrations
    from .integrations import (
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        is_clearml_available,
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        is_comet_available,
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        is_neptune_available,
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        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
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        is_sigopt_available,
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        is_tensorboard_available,
        is_wandb_available,
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    )
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    # Model Cards
    from .modelcard import ModelCard

    # TF 2.0 <=> PyTorch conversion utilities
    from .modeling_tf_pytorch_utils import (
        convert_tf_weight_name_to_pt_weight_name,
        load_pytorch_checkpoint_in_tf2_model,
        load_pytorch_model_in_tf2_model,
        load_pytorch_weights_in_tf2_model,
        load_tf2_checkpoint_in_pytorch_model,
        load_tf2_model_in_pytorch_model,
        load_tf2_weights_in_pytorch_model,
    )
    from .models.albert import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, AlbertConfig
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    from .models.align import (
        ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AlignConfig,
        AlignProcessor,
        AlignTextConfig,
        AlignVisionConfig,
    )
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    from .models.altclip import (
        ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AltCLIPConfig,
        AltCLIPProcessor,
        AltCLIPTextConfig,
        AltCLIPVisionConfig,
    )
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    from .models.audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ASTConfig,
    )
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    from .models.auto import (
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        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
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        FEATURE_EXTRACTOR_MAPPING,
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        IMAGE_PROCESSOR_MAPPING,
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        MODEL_NAMES_MAPPING,
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        PROCESSOR_MAPPING,
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        TOKENIZER_MAPPING,
        AutoConfig,
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        AutoFeatureExtractor,
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        AutoImageProcessor,
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        AutoProcessor,
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        AutoTokenizer,
    )
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    from .models.autoformer import (
        AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AutoformerConfig,
    )
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    from .models.bart import BartConfig, BartTokenizer
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NielsRogge committed
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    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
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Sylvain Gugger committed
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    from .models.bert import (
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        BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BasicTokenizer,
        BertConfig,
        BertTokenizer,
        WordpieceTokenizer,
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    )
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    from .models.bert_generation import BertGenerationConfig
    from .models.bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
    from .models.bertweet import BertweetTokenizer
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    from .models.big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig
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Vasudev Gupta committed
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    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
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Kamal Raj Kanakarajan committed
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    from .models.biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig, BioGptTokenizer
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NielsRogge committed
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    from .models.bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig
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    from .models.blenderbot import BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP, BlenderbotConfig, BlenderbotTokenizer
    from .models.blenderbot_small import (
        BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotSmallConfig,
        BlenderbotSmallTokenizer,
    )
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    from .models.blip import (
        BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlipConfig,
        BlipProcessor,
        BlipTextConfig,
        BlipVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.blip_2 import (
        BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Blip2Config,
        Blip2Processor,
        Blip2QFormerConfig,
        Blip2VisionConfig,
    )
Younes Belkada's avatar
Younes Belkada committed
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    from .models.bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig
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    from .models.bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerProcessor,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
Patrick von Platen's avatar
Patrick von Platen committed
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    from .models.byt5 import ByT5Tokenizer
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    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
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    from .models.chinese_clip import (
        CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ChineseCLIPConfig,
        ChineseCLIPProcessor,
        ChineseCLIPTextConfig,
        ChineseCLIPVisionConfig,
    )
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    from .models.clap import (
        CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
        ClapAudioConfig,
        ClapConfig,
        ClapProcessor,
        ClapTextConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
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    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
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        CLIPProcessor,
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Suraj Patil committed
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        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegProcessor,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
rooa's avatar
rooa committed
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    from .models.codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenTokenizer
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    from .models.conditional_detr import CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, ConditionalDetrConfig
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abhishek thakur committed
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    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
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NielsRogge committed
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    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
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Alara Dirik committed
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    from .models.convnextv2 import CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextV2Config
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    from .models.cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig, CpmAntTokenizer
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    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
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    from .models.cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig
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    from .models.data2vec import (
        DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Data2VecAudioConfig,
        Data2VecTextConfig,
        Data2VecVisionConfig,
    )
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    from .models.deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaTokenizer
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    from .models.deberta_v2 import DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaV2Config
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    from .models.decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
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NielsRogge committed
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    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
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NielsRogge committed
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    from .models.deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
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NielsRogge committed
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    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
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    from .models.dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
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    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
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NielsRogge committed
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    from .models.donut import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutProcessor, DonutSwinConfig
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    from .models.dpr import (
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        DPR_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DPRConfig,
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
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    )
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    from .models.dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
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    from .models.efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig
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    from .models.efficientnet import EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientNetConfig
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    from .models.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
    from .models.encoder_decoder import EncoderDecoderConfig
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    from .models.ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig
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    from .models.ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig
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    from .models.esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig, EsmTokenizer
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    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
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    from .models.flava import (
        FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
        FlavaConfig,
        FlavaImageCodebookConfig,
        FlavaImageConfig,
        FlavaMultimodalConfig,
        FlavaTextConfig,
    )
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    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig
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    from .models.focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig
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    from .models.fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig, FSMTTokenizer
    from .models.funnel import FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP, FunnelConfig, FunnelTokenizer
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    from .models.git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitProcessor, GitVisionConfig
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    from .models.glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig
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    from .models.gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2Tokenizer
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    from .models.gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig
Suraj Patil's avatar
Suraj Patil committed
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    from .models.gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
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    from .models.gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig
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    from .models.gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
Stella Biderman's avatar
Stella Biderman committed
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    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
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    from .models.gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GPTSanJapaneseConfig,
        GPTSanJapaneseTokenizer,
    )
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    from .models.graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig
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    from .models.groupvit import (
        GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GroupViTConfig,
        GroupViTTextConfig,
        GroupViTVisionConfig,
    )
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    from .models.herbert import HerbertTokenizer
Patrick von Platen's avatar
Patrick von Platen committed
4140
    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
Sehoon Kim's avatar
Sehoon Kim committed
4141
    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
NielsRogge's avatar
NielsRogge committed
4142
    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
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    from .models.informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig
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    from .models.jukebox import (
        JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
        JukeboxConfig,
        JukeboxPriorConfig,
        JukeboxTokenizer,
        JukeboxVQVAEConfig,
    )
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    from .models.layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMTokenizer
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    from .models.layoutlmv2 import (
        LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv2Config,
        LayoutLMv2FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
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        LayoutLMv2ImageProcessor,
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        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
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NielsRogge committed
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    from .models.layoutlmv3 import (
        LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv3Config,
        LayoutLMv3FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
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        LayoutLMv3ImageProcessor,
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NielsRogge committed
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        LayoutLMv3Processor,
        LayoutLMv3Tokenizer,
    )
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    from .models.layoutxlm import LayoutXLMProcessor
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    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
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    from .models.levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig
Jason Phang's avatar
Jason Phang committed
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    from .models.llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig
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    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
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Daniel Stancl committed
4174
    from .models.longt5 import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongT5Config
NielsRogge's avatar
NielsRogge committed
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    from .models.luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig, LukeTokenizer
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    from .models.lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig, LxmertTokenizer
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    from .models.m2m_100 import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, M2M100Config
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    from .models.marian import MarianConfig
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NielsRogge committed
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    from .models.markuplm import (
        MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MarkupLMConfig,
        MarkupLMFeatureExtractor,
        MarkupLMProcessor,
        MarkupLMTokenizer,
    )
Alara Dirik's avatar
Alara Dirik committed
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    from .models.mask2former import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Mask2FormerConfig
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    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig, MaskFormerSwinConfig
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    from .models.mbart import MBartConfig
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Chan Woo Kim committed
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    from .models.mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig, MCTCTProcessor
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    from .models.mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig
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    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
wangpeng's avatar
wangpeng committed
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    from .models.mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig, MgpstrProcessor, MgpstrTokenizer
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    from .models.mmbt import MMBTConfig
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
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    from .models.mobilenet_v1 import MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV1Config
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    from .models.mobilenet_v2 import MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV2Config
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    from .models.mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig
Shehan Munasinghe's avatar
Shehan Munasinghe committed
4198
    from .models.mobilevitv2 import MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTV2Config
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    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
    from .models.mt5 import MT5Config
StevenTang1998's avatar
StevenTang1998 committed
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    from .models.mvp import MvpConfig, MvpTokenizer
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    from .models.nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
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    from .models.nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig
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    from .models.nllb_moe import NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP, NllbMoeConfig
novice's avatar
novice committed
4205
    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
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Jitesh Jain committed
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    from .models.oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig, OneFormerProcessor
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    from .models.open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig
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    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
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Younes Belkada committed
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    from .models.opt import OPTConfig
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    from .models.owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTProcessor,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
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    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
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Jason Phang committed
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    from .models.pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig
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NielsRogge committed
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    from .models.perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverTokenizer
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    from .models.phobert import PhobertTokenizer
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Younes Belkada committed
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    from .models.pix2struct import (
        PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Pix2StructConfig,
        Pix2StructProcessor,
        Pix2StructTextConfig,
        Pix2StructVisionConfig,
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4228
    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
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Tanay Mehta committed
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    from .models.poolformer import POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, PoolFormerConfig
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    from .models.prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig, ProphetNetTokenizer
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    from .models.qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
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    from .models.rag import RagConfig, RagRetriever, RagTokenizer
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
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    from .models.realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig, RealmTokenizer
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    from .models.reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig
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Francesco Saverio Zuppichini committed
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    from .models.regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig
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    from .models.rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig
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    from .models.resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig
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    from .models.retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig, RetriBertTokenizer
    from .models.roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaTokenizer
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    from .models.roberta_prelayernorm import (
        ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        RobertaPreLayerNormConfig,
    )
Weiwe Shi's avatar
Weiwe Shi committed
4244
    from .models.roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig, RoCBertTokenizer
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    from .models.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
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Sylvain Gugger committed
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    from .models.rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig
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    from .models.sam import (
        SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SamConfig,
        SamMaskDecoderConfig,
        SamProcessor,
        SamPromptEncoderConfig,
        SamVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
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    from .models.segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig
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    from .models.sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig
    from .models.sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
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    from .models.speech_encoder_decoder import SpeechEncoderDecoderConfig
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    from .models.speech_to_text import (
        SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2TextConfig,
        Speech2TextProcessor,
    )
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    from .models.speech_to_text_2 import (
        SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2Text2Config,
        Speech2Text2Processor,
        Speech2Text2Tokenizer,
    )
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    from .models.speecht5 import (
        SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
        SpeechT5Config,
        SpeechT5HifiGanConfig,
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        SpeechT5Processor,
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    )
Ori Ram's avatar
Ori Ram committed
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    from .models.splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig, SplinterTokenizer
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    from .models.squeezebert import SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, SqueezeBertConfig, SqueezeBertTokenizer
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Shehan Munasinghe committed
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    from .models.swiftformer import SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SwiftFormerConfig
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novice committed
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    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.swin2sr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, Swin2SRConfig
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    from .models.swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config
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    from .models.switch_transformers import SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP, SwitchTransformersConfig
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    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
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    from .models.table_transformer import TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TableTransformerConfig
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    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
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NielsRogge committed
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    from .models.tapex import TapexTokenizer
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    from .models.time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TimeSeriesTransformerConfig,
    )
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    from .models.timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig
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amyeroberts committed
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    from .models.timm_backbone import TimmBackboneConfig
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Carl committed
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    from .models.trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TrajectoryTransformerConfig,
    )
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Sylvain Gugger committed
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    from .models.transfo_xl import (
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        TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TransfoXLConfig,
        TransfoXLCorpus,
        TransfoXLTokenizer,
    )
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    from .models.trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig, TrOCRProcessor
Zineng Tang's avatar
Zineng Tang committed
4305
    from .models.tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig, TvltProcessor
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    from .models.unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig
    from .models.unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig
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NielsRogge committed
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    from .models.upernet import UperNetConfig
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    from .models.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
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NielsRogge committed
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    from .models.videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig
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amyeroberts committed
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    from .models.vilt import (
        VILT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ViltConfig,
        ViltFeatureExtractor,
        ViltImageProcessor,
        ViltProcessor,
    )
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    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
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Suraj Patil committed
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    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
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Gunjan Chhablani committed
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    from .models.visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig
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    from .models.vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig
NielsRogge's avatar
NielsRogge committed
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    from .models.vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig
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NielsRogge committed
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    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
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    from .models.vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig
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    from .models.wav2vec2 import (
        WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Wav2Vec2Config,
        Wav2Vec2CTCTokenizer,
        Wav2Vec2FeatureExtractor,
        Wav2Vec2Processor,
        Wav2Vec2Tokenizer,
    )
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    from .models.wav2vec2_conformer import WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig
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    from .models.wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizer
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Sylvain Gugger committed
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    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
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Patrick von Platen committed
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    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
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    from .models.whisper import (
        WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        WhisperConfig,
        WhisperFeatureExtractor,
        WhisperProcessor,
        WhisperTokenizer,
    )
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NielsRogge committed
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    from .models.x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPProcessor,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
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    from .models.xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig
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    from .models.xlm import XLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMConfig, XLMTokenizer
    from .models.xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig
    from .models.xlm_roberta import XLM_ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaConfig
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    from .models.xlm_roberta_xl import XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaXLConfig
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    from .models.xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig
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Jannis Vamvas committed
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    from .models.xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig
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NielsRogge committed
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    from .models.yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig
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novice committed
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    from .models.yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
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    # Pipelines
    from .pipelines import (
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        AudioClassificationPipeline,
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        AutomaticSpeechRecognitionPipeline,
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        Conversation,
        ConversationalPipeline,
        CsvPipelineDataFormat,
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        DepthEstimationPipeline,
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        DocumentQuestionAnsweringPipeline,
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        FeatureExtractionPipeline,
        FillMaskPipeline,
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        ImageClassificationPipeline,
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        ImageSegmentationPipeline,
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        ImageToTextPipeline,
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        JsonPipelineDataFormat,
        NerPipeline,
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        ObjectDetectionPipeline,
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        PipedPipelineDataFormat,
        Pipeline,
        PipelineDataFormat,
        QuestionAnsweringPipeline,
        SummarizationPipeline,
        TableQuestionAnsweringPipeline,
        Text2TextGenerationPipeline,
        TextClassificationPipeline,
        TextGenerationPipeline,
        TokenClassificationPipeline,
        TranslationPipeline,
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        VideoClassificationPipeline,
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        VisualQuestionAnsweringPipeline,
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        ZeroShotAudioClassificationPipeline,
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        ZeroShotClassificationPipeline,
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        ZeroShotImageClassificationPipeline,
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        ZeroShotObjectDetectionPipeline,
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        pipeline,
    )
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    from .processing_utils import ProcessorMixin
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    # Tokenization
    from .tokenization_utils import PreTrainedTokenizer
    from .tokenization_utils_base import (
        AddedToken,
        BatchEncoding,
        CharSpan,
        PreTrainedTokenizerBase,
        SpecialTokensMixin,
        TokenSpan,
    )
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Lysandre committed
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Sylvain Gugger's avatar
Sylvain Gugger committed
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    # Tools
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    from .tools import (
        Agent,
        HfAgent,
        LocalAgent,
        OpenAiAgent,
        PipelineTool,
        RemoteTool,
        Tool,
        launch_gradio_demo,
        load_tool,
    )
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Sylvain Gugger committed
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Julien Plu committed
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    # Trainer
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    from .trainer_callback import (
        DefaultFlowCallback,
        EarlyStoppingCallback,
        PrinterCallback,
        ProgressCallback,
        TrainerCallback,
        TrainerControl,
        TrainerState,
    )
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    from .trainer_utils import EvalPrediction, IntervalStrategy, SchedulerType, enable_full_determinism, set_seed
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    from .training_args import TrainingArguments
    from .training_args_seq2seq import Seq2SeqTrainingArguments
    from .training_args_tf import TFTrainingArguments
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    # Files and general utilities
    from .utils import (
        CONFIG_NAME,
        MODEL_CARD_NAME,
        PYTORCH_PRETRAINED_BERT_CACHE,
        PYTORCH_TRANSFORMERS_CACHE,
        SPIECE_UNDERLINE,
        TF2_WEIGHTS_NAME,
        TF_WEIGHTS_NAME,
        TRANSFORMERS_CACHE,
        WEIGHTS_NAME,
        TensorType,
        add_end_docstrings,
        add_start_docstrings,
        is_apex_available,
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        is_bitsandbytes_available,
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        is_datasets_available,
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        is_decord_available,
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        is_faiss_available,
        is_flax_available,
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        is_keras_nlp_available,
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        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
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        is_safetensors_available,
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        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
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        is_tensorflow_text_available,
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        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
4473
        is_torch_neuroncore_available,
4474
        is_torch_tpu_available,
NielsRogge's avatar
NielsRogge committed
4475
        is_torchvision_available,
4476
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4478
        is_vision_available,
        logging,
    )
Julien Plu's avatar
Julien Plu committed
4479

4480
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4482
    # bitsandbytes config
    from .utils.quantization_config import BitsAndBytesConfig

4483
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    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_sentencepiece_objects import *
    else:
4489
4490
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
4491
        from .models.bartpho import BartphoTokenizer
4492
        from .models.bert_generation import BertGenerationTokenizer
4493
        from .models.big_bird import BigBirdTokenizer
4494
        from .models.camembert import CamembertTokenizer
4495
        from .models.cpm import CpmTokenizer
4496
        from .models.deberta_v2 import DebertaV2Tokenizer
4497
        from .models.ernie_m import ErnieMTokenizer
4498
        from .models.fnet import FNetTokenizer
4499
        from .models.gpt_sw3 import GPTSw3Tokenizer
4500
        from .models.layoutxlm import LayoutXLMTokenizer
Jason Phang's avatar
Jason Phang committed
4501
        from .models.llama import LlamaTokenizer
4502
        from .models.m2m_100 import M2M100Tokenizer
4503
        from .models.marian import MarianTokenizer
Suraj Patil's avatar
Suraj Patil committed
4504
        from .models.mbart import MBart50Tokenizer, MBartTokenizer
Ryokan RI's avatar
Ryokan RI committed
4505
        from .models.mluke import MLukeTokenizer
4506
        from .models.mt5 import MT5Tokenizer
Lysandre Debut's avatar
Lysandre Debut committed
4507
        from .models.nllb import NllbTokenizer
4508
        from .models.pegasus import PegasusTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4509
        from .models.plbart import PLBartTokenizer
4510
        from .models.reformer import ReformerTokenizer
4511
        from .models.rembert import RemBertTokenizer
4512
        from .models.speech_to_text import Speech2TextTokenizer
4513
        from .models.speecht5 import SpeechT5Tokenizer
4514
        from .models.t5 import T5Tokenizer
Suraj Patil's avatar
Suraj Patil committed
4515
        from .models.xglm import XGLMTokenizer
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4518
        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
4519

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    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tokenizers_objects import *
    else:
        # Fast tokenizers imports
4527
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4530
        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
4531
        from .models.big_bird import BigBirdTokenizerFast
4532
        from .models.blenderbot import BlenderbotTokenizerFast
4533
        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
Younes Belkada's avatar
Younes Belkada committed
4534
        from .models.bloom import BloomTokenizerFast
4535
        from .models.camembert import CamembertTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4536
        from .models.clip import CLIPTokenizerFast
rooa's avatar
rooa committed
4537
        from .models.codegen import CodeGenTokenizerFast
abhishek thakur's avatar
abhishek thakur committed
4538
        from .models.convbert import ConvBertTokenizerFast
4539
        from .models.cpm import CpmTokenizerFast
4540
        from .models.deberta import DebertaTokenizerFast
4541
        from .models.deberta_v2 import DebertaV2TokenizerFast
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        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4545
        from .models.fnet import FNetTokenizerFast
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4547
        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
4548
        from .models.gpt_neox import GPTNeoXTokenizerFast
4549
        from .models.gpt_neox_japanese import GPTNeoXJapaneseTokenizer
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4551
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
4552
        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
NielsRogge's avatar
NielsRogge committed
4553
        from .models.layoutlmv3 import LayoutLMv3TokenizerFast
4554
        from .models.layoutxlm import LayoutXLMTokenizerFast
4555
        from .models.led import LEDTokenizerFast
4556
        from .models.llama import LlamaTokenizerFast
4557
4558
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
NielsRogge's avatar
NielsRogge committed
4559
        from .models.markuplm import MarkupLMTokenizerFast
4560
4561
        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
4562
4563
4564
        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
StevenTang1998's avatar
StevenTang1998 committed
4565
        from .models.mvp import MvpTokenizerFast
Lysandre Debut's avatar
Lysandre Debut committed
4566
        from .models.nllb import NllbTokenizerFast
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4568
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
4569
        from .models.realm import RealmTokenizerFast
4570
        from .models.reformer import ReformerTokenizerFast
4571
        from .models.rembert import RemBertTokenizerFast
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4573
        from .models.retribert import RetriBertTokenizerFast
        from .models.roberta import RobertaTokenizerFast
4574
        from .models.roformer import RoFormerTokenizerFast
Ori Ram's avatar
Ori Ram committed
4575
        from .models.splinter import SplinterTokenizerFast
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4577
        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
4578
        from .models.whisper import WhisperTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4579
        from .models.xglm import XGLMTokenizerFast
4580
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4582
        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
4583

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    try:
        if not (is_sentencepiece_available() and is_tokenizers_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *
4589
    else:
4590
4591
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer

4592
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    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
4596
        from .utils.dummy_speech_objects import *
4597
    else:
4598
        from .models.audio_spectrogram_transformer import ASTFeatureExtractor
Chan Woo Kim's avatar
Chan Woo Kim committed
4599
        from .models.mctct import MCTCTFeatureExtractor
4600
        from .models.speech_to_text import Speech2TextFeatureExtractor
4601
        from .models.speecht5 import SpeechT5FeatureExtractor
Zineng Tang's avatar
Zineng Tang committed
4602
        from .models.tvlt import TvltFeatureExtractor
4603

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    try:
        if not is_tensorflow_text_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tensorflow_text_objects import *
    else:
        from .models.bert import TFBertTokenizer

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    try:
        if not is_keras_nlp_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_keras_nlp_objects import *
    else:
        from .models.gpt2 import TFGPT2Tokenizer

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4625
    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_vision_objects import *
    else:
amyeroberts's avatar
amyeroberts committed
4626
        from .image_processing_utils import ImageProcessingMixin
4627
        from .image_utils import ImageFeatureExtractionMixin
amyeroberts's avatar
amyeroberts committed
4628
        from .models.beit import BeitFeatureExtractor, BeitImageProcessor
NielsRogge's avatar
NielsRogge committed
4629
        from .models.bit import BitImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4630
        from .models.blip import BlipImageProcessor
4631
        from .models.bridgetower import BridgeTowerImageProcessor
4632
        from .models.chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor
amyeroberts's avatar
amyeroberts committed
4633
        from .models.clip import CLIPFeatureExtractor, CLIPImageProcessor
4634
        from .models.conditional_detr import ConditionalDetrFeatureExtractor, ConditionalDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4635
        from .models.convnext import ConvNextFeatureExtractor, ConvNextImageProcessor
4636
        from .models.deformable_detr import DeformableDetrFeatureExtractor, DeformableDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4637
        from .models.deit import DeiTFeatureExtractor, DeiTImageProcessor
NielsRogge's avatar
NielsRogge committed
4638
        from .models.deta import DetaImageProcessor
4639
        from .models.detr import DetrFeatureExtractor, DetrImageProcessor
4640
        from .models.donut import DonutFeatureExtractor, DonutImageProcessor
amyeroberts's avatar
amyeroberts committed
4641
        from .models.dpt import DPTFeatureExtractor, DPTImageProcessor
4642
        from .models.efficientformer import EfficientFormerImageProcessor
Alara Dirik's avatar
Alara Dirik committed
4643
        from .models.efficientnet import EfficientNetImageProcessor
amyeroberts's avatar
amyeroberts committed
4644
4645
4646
4647
4648
4649
        from .models.flava import FlavaFeatureExtractor, FlavaImageProcessor, FlavaProcessor
        from .models.glpn import GLPNFeatureExtractor, GLPNImageProcessor
        from .models.imagegpt import ImageGPTFeatureExtractor, ImageGPTImageProcessor
        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2ImageProcessor
        from .models.layoutlmv3 import LayoutLMv3FeatureExtractor, LayoutLMv3ImageProcessor
        from .models.levit import LevitFeatureExtractor, LevitImageProcessor
4650
        from .models.mask2former import Mask2FormerImageProcessor
4651
        from .models.maskformer import MaskFormerFeatureExtractor, MaskFormerImageProcessor
4652
        from .models.mobilenet_v1 import MobileNetV1FeatureExtractor, MobileNetV1ImageProcessor
4653
        from .models.mobilenet_v2 import MobileNetV2FeatureExtractor, MobileNetV2ImageProcessor
amyeroberts's avatar
amyeroberts committed
4654
        from .models.mobilevit import MobileViTFeatureExtractor, MobileViTImageProcessor
Jitesh Jain's avatar
Jitesh Jain committed
4655
        from .models.oneformer import OneFormerImageProcessor
4656
        from .models.owlvit import OwlViTFeatureExtractor, OwlViTImageProcessor
amyeroberts's avatar
amyeroberts committed
4657
        from .models.perceiver import PerceiverFeatureExtractor, PerceiverImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4658
        from .models.pix2struct import Pix2StructImageProcessor
amyeroberts's avatar
amyeroberts committed
4659
        from .models.poolformer import PoolFormerFeatureExtractor, PoolFormerImageProcessor
4660
        from .models.sam import SamImageProcessor
amyeroberts's avatar
amyeroberts committed
4661
        from .models.segformer import SegformerFeatureExtractor, SegformerImageProcessor
NielsRogge's avatar
NielsRogge committed
4662
        from .models.swin2sr import Swin2SRImageProcessor
Zineng Tang's avatar
Zineng Tang committed
4663
        from .models.tvlt import TvltImageProcessor
amyeroberts's avatar
amyeroberts committed
4664
4665
4666
        from .models.videomae import VideoMAEFeatureExtractor, VideoMAEImageProcessor
        from .models.vilt import ViltFeatureExtractor, ViltImageProcessor, ViltProcessor
        from .models.vit import ViTFeatureExtractor, ViTImageProcessor
NielsRogge's avatar
NielsRogge committed
4667
        from .models.vit_hybrid import ViTHybridImageProcessor
4668
        from .models.yolos import YolosFeatureExtractor, YolosImageProcessor
4669

4670
    # Modeling
4671
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4673
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4676
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_pt_objects import *
    else:
4677
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4679
4680
4681
4682
4683
4684
4685
4686
4687
4688
4689
4690
        # Benchmarks
        from .benchmark.benchmark import PyTorchBenchmark
        from .benchmark.benchmark_args import PyTorchBenchmarkArguments
        from .data.datasets import (
            GlueDataset,
            GlueDataTrainingArguments,
            LineByLineTextDataset,
            LineByLineWithRefDataset,
            LineByLineWithSOPTextDataset,
            SquadDataset,
            SquadDataTrainingArguments,
            TextDataset,
            TextDatasetForNextSentencePrediction,
        )
4691
4692
4693
4694
        from .generation import (
            BeamScorer,
            BeamSearchScorer,
            ConstrainedBeamSearchScorer,
4695
4696
4697
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
4698
4699
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
4700
            GenerationMixin,
4701
            HammingDiversityLogitsProcessor,
4702
            InfNanRemoveLogitsProcessor,
4703
4704
4705
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
4706
4707
            MaxLengthCriteria,
            MaxTimeCriteria,
4708
            MinLengthLogitsProcessor,
4709
            MinNewTokensLengthLogitsProcessor,
4710
4711
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
4712
            PhrasalConstraint,
4713
4714
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
4715
4716
            StoppingCriteria,
            StoppingCriteriaList,
4717
4718
4719
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
4720
            TypicalLogitsWarper,
4721
            top_k_top_p_filtering,
4722
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
4723
        from .modeling_utils import PreTrainedModel
4724
4725

        # PyTorch model imports
4726
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4733
4734
4735
4736
4737
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
4738
4739
4740
4741
4742
4743
4744
        from .models.align import (
            ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlignModel,
            AlignPreTrainedModel,
            AlignTextModel,
            AlignVisionModel,
        )
Jongjyh's avatar
Jongjyh committed
4745
4746
4747
4748
4749
4750
4751
        from .models.altclip import (
            ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            AltCLIPModel,
            AltCLIPPreTrainedModel,
            AltCLIPTextModel,
            AltCLIPVisionModel,
        )
4752
4753
4754
4755
4756
4757
        from .models.audio_spectrogram_transformer import (
            AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ASTForAudioClassification,
            ASTModel,
            ASTPreTrainedModel,
        )
4758
        from .models.auto import (
4759
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
4760
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
4761
            MODEL_FOR_BACKBONE_MAPPING,
NielsRogge's avatar
NielsRogge committed
4762
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
4763
            MODEL_FOR_CAUSAL_LM_MAPPING,
4764
            MODEL_FOR_CTC_MAPPING,
4765
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
4766
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
4767
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
4768
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
4769
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
4770
            MODEL_FOR_MASK_GENERATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4771
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
4772
4773
4774
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4775
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
4776
4777
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
4778
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
4779
4780
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
4781
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
4782
4783
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
4784
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4785
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
4786
            MODEL_FOR_VISION_2_SEQ_MAPPING,
4787
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
4788
            MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
4789
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
4790
4791
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
4792
            AutoBackbone,
4793
            AutoModel,
4794
            AutoModelForAudioClassification,
4795
4796
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
4797
            AutoModelForCausalLM,
4798
            AutoModelForCTC,
4799
            AutoModelForDepthEstimation,
4800
            AutoModelForDocumentQuestionAnswering,
4801
            AutoModelForImageClassification,
4802
            AutoModelForImageSegmentation,
4803
            AutoModelForInstanceSegmentation,
NielsRogge's avatar
NielsRogge committed
4804
            AutoModelForMaskedImageModeling,
4805
            AutoModelForMaskedLM,
4806
            AutoModelForMaskGeneration,
4807
4808
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
4809
            AutoModelForObjectDetection,
4810
4811
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
4812
            AutoModelForSemanticSegmentation,
4813
4814
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
4815
            AutoModelForSpeechSeq2Seq,
4816
4817
            AutoModelForTableQuestionAnswering,
            AutoModelForTokenClassification,
4818
            AutoModelForUniversalSegmentation,
NielsRogge's avatar
NielsRogge committed
4819
            AutoModelForVideoClassification,
4820
            AutoModelForVision2Seq,
4821
            AutoModelForVisualQuestionAnswering,
4822
            AutoModelForZeroShotImageClassification,
4823
            AutoModelForZeroShotObjectDetection,
4824
4825
            AutoModelWithLMHead,
        )
4826
4827
4828
4829
4830
4831
        from .models.autoformer import (
            AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            AutoformerForPrediction,
            AutoformerModel,
            AutoformerPreTrainedModel,
        )
4832
4833
        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
4834
            BartForCausalLM,
4835
4836
4837
4838
4839
4840
4841
            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
            BartPretrainedModel,
            PretrainedBartModel,
        )
NielsRogge's avatar
NielsRogge committed
4842
4843
4844
4845
        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
4846
            BeitForSemanticSegmentation,
NielsRogge's avatar
NielsRogge committed
4847
4848
4849
            BeitModel,
            BeitPreTrainedModel,
        )
4850
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4853
4854
4855
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4857
4858
4859
4860
4861
4862
4863
4864
4865
4866
4867
        from .models.bert import (
            BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BertForMaskedLM,
            BertForMultipleChoice,
            BertForNextSentencePrediction,
            BertForPreTraining,
            BertForQuestionAnswering,
            BertForSequenceClassification,
            BertForTokenClassification,
            BertLayer,
            BertLMHeadModel,
            BertModel,
            BertPreTrainedModel,
            load_tf_weights_in_bert,
        )
        from .models.bert_generation import (
            BertGenerationDecoder,
            BertGenerationEncoder,
4868
            BertGenerationPreTrainedModel,
4869
4870
            load_tf_weights_in_bert_generation,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
4871
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4874
4875
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4877
4878
4879
4880
4881
4882
4883
4884
        from .models.big_bird import (
            BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdForCausalLM,
            BigBirdForMaskedLM,
            BigBirdForMultipleChoice,
            BigBirdForPreTraining,
            BigBirdForQuestionAnswering,
            BigBirdForSequenceClassification,
            BigBirdForTokenClassification,
            BigBirdLayer,
            BigBirdModel,
            BigBirdPreTrainedModel,
            load_tf_weights_in_big_bird,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
4885
4886
4887
4888
4889
4890
4891
        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
4892
            BigBirdPegasusPreTrainedModel,
Vasudev Gupta's avatar
Vasudev Gupta committed
4893
        )
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
4894
4895
4896
        from .models.biogpt import (
            BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BioGptForCausalLM,
4897
            BioGptForSequenceClassification,
4898
            BioGptForTokenClassification,
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
4899
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            BioGptModel,
            BioGptPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.bit import (
            BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BitBackbone,
            BitForImageClassification,
            BitModel,
            BitPreTrainedModel,
        )
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        from .models.blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BlenderbotForCausalLM,
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            BlenderbotForConditionalGeneration,
            BlenderbotModel,
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            BlenderbotPreTrainedModel,
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        )
        from .models.blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BlenderbotSmallForCausalLM,
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            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
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            BlenderbotSmallPreTrainedModel,
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        )
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Younes Belkada committed
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        from .models.blip import (
            BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlipForConditionalGeneration,
            BlipForImageTextRetrieval,
            BlipForQuestionAnswering,
            BlipModel,
            BlipPreTrainedModel,
            BlipTextModel,
            BlipVisionModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.blip_2 import (
            BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Blip2ForConditionalGeneration,
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            Blip2Model,
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NielsRogge committed
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            Blip2PreTrainedModel,
            Blip2QFormerModel,
            Blip2VisionModel,
        )
Younes Belkada's avatar
Younes Belkada committed
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        from .models.bloom import (
            BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
            BloomForCausalLM,
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            BloomForQuestionAnswering,
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            BloomForSequenceClassification,
            BloomForTokenClassification,
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Younes Belkada committed
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            BloomModel,
            BloomPreTrainedModel,
        )
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        from .models.bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BridgeTowerForContrastiveLearning,
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            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )
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        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
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            CamembertPreTrainedModel,
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        )
NielsRogge's avatar
NielsRogge committed
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        from .models.canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )
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        from .models.chinese_clip import (
            CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ChineseCLIPModel,
            ChineseCLIPPreTrainedModel,
            ChineseCLIPTextModel,
            ChineseCLIPVisionModel,
        )
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        from .models.clap import (
            CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ClapAudioModel,
            ClapAudioModelWithProjection,
            ClapFeatureExtractor,
            ClapModel,
            ClapPreTrainedModel,
            ClapTextModel,
            ClapTextModelWithProjection,
        )
Suraj Patil's avatar
Suraj Patil committed
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        from .models.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
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            CLIPTextModelWithProjection,
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            CLIPVisionModel,
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            CLIPVisionModelWithProjection,
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Suraj Patil committed
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        )
NielsRogge's avatar
NielsRogge committed
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        from .models.clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )
rooa's avatar
rooa committed
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        from .models.codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )
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        from .models.conditional_detr import (
            CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConditionalDetrForObjectDetection,
            ConditionalDetrForSegmentation,
            ConditionalDetrModel,
            ConditionalDetrPreTrainedModel,
        )
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abhishek thakur committed
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        from .models.convbert import (
            CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvBertForMaskedLM,
            ConvBertForMultipleChoice,
            ConvBertForQuestionAnswering,
            ConvBertForSequenceClassification,
            ConvBertForTokenClassification,
            ConvBertLayer,
            ConvBertModel,
            ConvBertPreTrainedModel,
            load_tf_weights_in_convbert,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
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NielsRogge committed
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            ConvNextBackbone,
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            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
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Alara Dirik committed
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        from .models.convnextv2 import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextV2Backbone,
            ConvNextV2ForImageClassification,
            ConvNextV2Model,
            ConvNextV2PreTrainedModel,
        )
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        from .models.cpmant import (
            CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CpmAntForCausalLM,
            CpmAntModel,
            CpmAntPreTrainedModel,
        )
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        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
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        from .models.cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )
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        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
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            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
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            Data2VecVisionForImageClassification,
            Data2VecVisionForSemanticSegmentation,
            Data2VecVisionModel,
            Data2VecVisionPreTrainedModel,
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        )
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        from .models.deberta import (
            DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DebertaForMaskedLM,
            DebertaForQuestionAnswering,
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            DebertaForSequenceClassification,
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            DebertaForTokenClassification,
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            DebertaModel,
            DebertaPreTrainedModel,
        )
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        from .models.deberta_v2 import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaV2ForMaskedLM,
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            DebertaV2ForMultipleChoice,
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            DebertaV2ForQuestionAnswering,
            DebertaV2ForSequenceClassification,
            DebertaV2ForTokenClassification,
            DebertaV2Model,
            DebertaV2PreTrainedModel,
        )
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        from .models.decision_transformer import (
            DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DecisionTransformerGPT2Model,
            DecisionTransformerGPT2PreTrainedModel,
            DecisionTransformerModel,
            DecisionTransformerPreTrainedModel,
        )
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        from .models.deformable_detr import (
            DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeformableDetrForObjectDetection,
            DeformableDetrModel,
            DeformableDetrPreTrainedModel,
        )
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NielsRogge committed
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        from .models.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
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            DeiTForMaskedImageModeling,
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            DeiTModel,
            DeiTPreTrainedModel,
        )
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NielsRogge committed
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        from .models.deta import (
            DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetaForObjectDetection,
            DetaModel,
            DetaPreTrainedModel,
        )
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        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
            DetrPreTrainedModel,
        )
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        from .models.dinat import (
            DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            DinatBackbone,
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            DinatForImageClassification,
            DinatModel,
            DinatPreTrainedModel,
        )
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        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
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        from .models.donut import DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST, DonutSwinModel, DonutSwinPreTrainedModel
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        from .models.dpr import (
            DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPRContextEncoder,
            DPRPretrainedContextEncoder,
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            DPRPreTrainedModel,
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            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )
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        from .models.dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )
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        from .models.efficientformer import (
            EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientFormerForImageClassification,
            EfficientFormerForImageClassificationWithTeacher,
            EfficientFormerModel,
            EfficientFormerPreTrainedModel,
        )
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        from .models.efficientnet import (
            EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientNetForImageClassification,
            EfficientNetModel,
            EfficientNetPreTrainedModel,
        )
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        from .models.electra import (
            ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            ElectraForCausalLM,
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            ElectraForMaskedLM,
            ElectraForMultipleChoice,
            ElectraForPreTraining,
            ElectraForQuestionAnswering,
            ElectraForSequenceClassification,
            ElectraForTokenClassification,
            ElectraModel,
            ElectraPreTrainedModel,
            load_tf_weights_in_electra,
        )
        from .models.encoder_decoder import EncoderDecoderModel
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        from .models.ernie import (
            ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieForCausalLM,
            ErnieForMaskedLM,
            ErnieForMultipleChoice,
            ErnieForNextSentencePrediction,
            ErnieForPreTraining,
            ErnieForQuestionAnswering,
            ErnieForSequenceClassification,
            ErnieForTokenClassification,
            ErnieModel,
            ErniePreTrainedModel,
        )
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        from .models.ernie_m import (
            ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieMForInformationExtraction,
            ErnieMForMultipleChoice,
            ErnieMForQuestionAnswering,
            ErnieMForSequenceClassification,
            ErnieMForTokenClassification,
            ErnieMModel,
            ErnieMPreTrainedModel,
        )
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        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
Matt's avatar
Matt committed
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            EsmFoldPreTrainedModel,
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            EsmForMaskedLM,
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            EsmForProteinFolding,
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            EsmForSequenceClassification,
            EsmForTokenClassification,
            EsmModel,
            EsmPreTrainedModel,
        )
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        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
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            FlaubertPreTrainedModel,
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            FlaubertWithLMHeadModel,
        )
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        from .models.flava import (
            FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlavaForPreTraining,
            FlavaImageCodebook,
            FlavaImageModel,
            FlavaModel,
            FlavaMultimodalModel,
            FlavaPreTrainedModel,
            FlavaTextModel,
        )
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Gunjan Chhablani committed
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        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.focalnet import (
            FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
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Alara Dirik committed
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            FocalNetBackbone,
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            FocalNetForImageClassification,
            FocalNetForMaskedImageModeling,
            FocalNetModel,
            FocalNetPreTrainedModel,
        )
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        from .models.fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel
        from .models.funnel import (
            FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            FunnelBaseModel,
            FunnelForMaskedLM,
            FunnelForMultipleChoice,
            FunnelForPreTraining,
            FunnelForQuestionAnswering,
            FunnelForSequenceClassification,
            FunnelForTokenClassification,
            FunnelModel,
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            FunnelPreTrainedModel,
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            load_tf_weights_in_funnel,
        )
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        from .models.git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )
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NielsRogge committed
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        from .models.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
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        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
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            GPT2ForQuestionAnswering,
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            GPT2ForSequenceClassification,
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            GPT2ForTokenClassification,
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            GPT2LMHeadModel,
            GPT2Model,
            GPT2PreTrainedModel,
            load_tf_weights_in_gpt2,
        )
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        from .models.gpt_bigcode import (
            GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTBigCodeForCausalLM,
            GPTBigCodeForSequenceClassification,
            GPTBigCodeForTokenClassification,
            GPTBigCodeModel,
            GPTBigCodePreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
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        from .models.gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
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            GPTNeoForQuestionAnswering,
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            GPTNeoForSequenceClassification,
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            GPTNeoForTokenClassification,
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            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
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        from .models.gpt_neox import (
            GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXForCausalLM,
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            GPTNeoXForQuestionAnswering,
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            GPTNeoXForSequenceClassification,
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            GPTNeoXForTokenClassification,
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            GPTNeoXLayer,
            GPTNeoXModel,
            GPTNeoXPreTrainedModel,
        )
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        from .models.gpt_neox_japanese import (
            GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXJapaneseForCausalLM,
            GPTNeoXJapaneseLayer,
            GPTNeoXJapaneseModel,
            GPTNeoXJapanesePreTrainedModel,
        )
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        from .models.gptj import (
            GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTJForCausalLM,
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            GPTJForQuestionAnswering,
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            GPTJForSequenceClassification,
            GPTJModel,
            GPTJPreTrainedModel,
        )
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        from .models.gptsan_japanese import (
            GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTSanJapaneseForConditionalGeneration,
            GPTSanJapaneseModel,
            GPTSanJapanesePreTrainedModel,
        )
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        from .models.graphormer import (
            GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            GraphormerForGraphClassification,
            GraphormerModel,
            GraphormerPreTrainedModel,
        )
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        from .models.groupvit import (
            GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GroupViTModel,
            GroupViTPreTrainedModel,
            GroupViTTextModel,
            GroupViTVisionModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
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        from .models.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
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            HubertForSequenceClassification,
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Patrick von Platen committed
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            HubertModel,
            HubertPreTrainedModel,
        )
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        from .models.ibert import (
            IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            IBertForMaskedLM,
            IBertForMultipleChoice,
            IBertForQuestionAnswering,
            IBertForSequenceClassification,
            IBertForTokenClassification,
            IBertModel,
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            IBertPreTrainedModel,
Sehoon Kim's avatar
Sehoon Kim committed
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        )
NielsRogge's avatar
NielsRogge committed
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        from .models.imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
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            ImageGPTForCausalImageModeling,
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NielsRogge committed
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            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )
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        from .models.informer import (
            INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            InformerForPrediction,
            InformerModel,
            InformerPreTrainedModel,
        )
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        from .models.jukebox import (
            JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            JukeboxModel,
            JukeboxPreTrainedModel,
            JukeboxPrior,
            JukeboxVQVAE,
        )
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        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
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            LayoutLMForQuestionAnswering,
NielsRogge's avatar
NielsRogge committed
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            LayoutLMForSequenceClassification,
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            LayoutLMForTokenClassification,
            LayoutLMModel,
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            LayoutLMPreTrainedModel,
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        )
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        from .models.layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
NielsRogge's avatar
NielsRogge committed
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        )
        from .models.layoutlmv3 import (
            LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv3ForQuestionAnswering,
            LayoutLMv3ForSequenceClassification,
            LayoutLMv3ForTokenClassification,
            LayoutLMv3Model,
            LayoutLMv3PreTrainedModel,
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        )
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        from .models.led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
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            LEDPreTrainedModel,
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        )
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        from .models.levit import (
            LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.lilt import (
            LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LiltForQuestionAnswering,
            LiltForSequenceClassification,
            LiltForTokenClassification,
            LiltModel,
            LiltPreTrainedModel,
        )
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        from .models.llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel
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        from .models.longformer import (
            LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
            LongformerModel,
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            LongformerPreTrainedModel,
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            LongformerSelfAttention,
        )
Daniel Stancl's avatar
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        from .models.longt5 import (
            LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongT5EncoderModel,
            LongT5ForConditionalGeneration,
            LongT5Model,
            LongT5PreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
Ryokan RI's avatar
Ryokan RI committed
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            LukeForMaskedLM,
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            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
NielsRogge's avatar
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            LukeModel,
            LukePreTrainedModel,
        )
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        from .models.lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )
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        from .models.m2m_100 import (
            M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
            M2M100ForConditionalGeneration,
            M2M100Model,
            M2M100PreTrainedModel,
        )
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        from .models.marian import MarianForCausalLM, MarianModel, MarianMTModel
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        from .models.markuplm import (
            MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarkupLMForQuestionAnswering,
            MarkupLMForSequenceClassification,
            MarkupLMForTokenClassification,
            MarkupLMModel,
            MarkupLMPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
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        from .models.mask2former import (
            MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Mask2FormerForUniversalSegmentation,
            Mask2FormerModel,
            Mask2FormerPreTrainedModel,
        )
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        from .models.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
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            MaskFormerSwinBackbone,
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        )
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        from .models.mbart import (
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            MBartForCausalLM,
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            MBartForConditionalGeneration,
            MBartForQuestionAnswering,
            MBartForSequenceClassification,
            MBartModel,
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            MBartPreTrainedModel,
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        )
Chan Woo Kim's avatar
Chan Woo Kim committed
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        from .models.mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel
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        from .models.mega import (
            MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegaForCausalLM,
            MegaForMaskedLM,
            MegaForMultipleChoice,
            MegaForQuestionAnswering,
            MegaForSequenceClassification,
            MegaForTokenClassification,
            MegaModel,
            MegaPreTrainedModel,
        )
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        from .models.megatron_bert import (
            MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegatronBertForCausalLM,
            MegatronBertForMaskedLM,
            MegatronBertForMultipleChoice,
            MegatronBertForNextSentencePrediction,
            MegatronBertForPreTraining,
            MegatronBertForQuestionAnswering,
            MegatronBertForSequenceClassification,
            MegatronBertForTokenClassification,
            MegatronBertModel,
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            MegatronBertPreTrainedModel,
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        )
wangpeng's avatar
wangpeng committed
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        from .models.mgp_str import (
            MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
            MgpstrForSceneTextRecognition,
            MgpstrModel,
            MgpstrPreTrainedModel,
        )
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        from .models.mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings
        from .models.mobilebert import (
            MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileBertForMaskedLM,
            MobileBertForMultipleChoice,
            MobileBertForNextSentencePrediction,
            MobileBertForPreTraining,
            MobileBertForQuestionAnswering,
            MobileBertForSequenceClassification,
            MobileBertForTokenClassification,
            MobileBertLayer,
            MobileBertModel,
            MobileBertPreTrainedModel,
            load_tf_weights_in_mobilebert,
        )
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        from .models.mobilenet_v1 import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV1ForImageClassification,
            MobileNetV1Model,
            MobileNetV1PreTrainedModel,
            load_tf_weights_in_mobilenet_v1,
        )
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        from .models.mobilenet_v2 import (
            MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV2ForImageClassification,
            MobileNetV2ForSemanticSegmentation,
            MobileNetV2Model,
            MobileNetV2PreTrainedModel,
            load_tf_weights_in_mobilenet_v2,
        )
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        from .models.mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
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        from .models.mobilevitv2 import (
            MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTV2ForImageClassification,
            MobileViTV2ForSemanticSegmentation,
            MobileViTV2Model,
            MobileViTV2PreTrainedModel,
        )
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        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
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        from .models.mt5 import MT5EncoderModel, MT5ForConditionalGeneration, MT5Model, MT5PreTrainedModel
StevenTang1998's avatar
StevenTang1998 committed
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        from .models.mvp import (
            MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
            MvpForCausalLM,
            MvpForConditionalGeneration,
            MvpForQuestionAnswering,
            MvpForSequenceClassification,
            MvpModel,
            MvpPreTrainedModel,
        )
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        from .models.nat import (
            NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            NatBackbone,
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            NatForImageClassification,
            NatModel,
            NatPreTrainedModel,
        )
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        from .models.nezha import (
            NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
            NezhaForMaskedLM,
            NezhaForMultipleChoice,
            NezhaForNextSentencePrediction,
            NezhaForPreTraining,
            NezhaForQuestionAnswering,
            NezhaForSequenceClassification,
            NezhaForTokenClassification,
            NezhaModel,
            NezhaPreTrainedModel,
        )
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        from .models.nllb_moe import (
            NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
            NllbMoeForConditionalGeneration,
            NllbMoeModel,
            NllbMoePreTrainedModel,
            NllbMoeSparseMLP,
            NllbMoeTop2Router,
        )
novice's avatar
novice committed
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        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
Jitesh Jain's avatar
Jitesh Jain committed
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        from .models.oneformer import (
            ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            OneFormerForUniversalSegmentation,
            OneFormerModel,
            OneFormerPreTrainedModel,
        )
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        from .models.open_llama import (
            OpenLlamaForCausalLM,
            OpenLlamaForSequenceClassification,
            OpenLlamaModel,
            OpenLlamaPreTrainedModel,
        )
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        from .models.openai import (
            OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OpenAIGPTDoubleHeadsModel,
            OpenAIGPTForSequenceClassification,
            OpenAIGPTLMHeadModel,
            OpenAIGPTModel,
            OpenAIGPTPreTrainedModel,
            load_tf_weights_in_openai_gpt,
        )
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        from .models.opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
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            OPTForQuestionAnswering,
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            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )
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        from .models.owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )
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        from .models.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
Jason Phang's avatar
Jason Phang committed
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        from .models.pegasus_x import (
            PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusXForConditionalGeneration,
            PegasusXModel,
            PegasusXPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
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        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
Younes Belkada's avatar
Younes Belkada committed
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        from .models.pix2struct import (
            PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Pix2StructForConditionalGeneration,
            Pix2StructPreTrainedModel,
            Pix2StructTextModel,
            Pix2StructVisionModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
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        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
Tanay Mehta's avatar
Tanay Mehta committed
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        from .models.poolformer import (
            POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PoolFormerForImageClassification,
            PoolFormerModel,
            PoolFormerPreTrainedModel,
        )
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        from .models.prophetnet import (
            PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ProphetNetDecoder,
            ProphetNetEncoder,
            ProphetNetForCausalLM,
            ProphetNetForConditionalGeneration,
            ProphetNetModel,
            ProphetNetPreTrainedModel,
        )
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        from .models.qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )
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        from .models.rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
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        from .models.realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmRetriever,
            RealmScorer,
            load_tf_weights_in_realm,
        )
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        from .models.reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
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            ReformerPreTrainedModel,
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        )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
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        from .models.regnet import (
            REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            RegNetForImageClassification,
            RegNetModel,
            RegNetPreTrainedModel,
        )
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        from .models.rembert import (
            REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RemBertForCausalLM,
            RemBertForMaskedLM,
            RemBertForMultipleChoice,
            RemBertForQuestionAnswering,
            RemBertForSequenceClassification,
            RemBertForTokenClassification,
            RemBertLayer,
            RemBertModel,
            RemBertPreTrainedModel,
            load_tf_weights_in_rembert,
        )
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        from .models.resnet import (
            RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
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            ResNetBackbone,
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            ResNetForImageClassification,
            ResNetModel,
            ResNetPreTrainedModel,
        )
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        from .models.retribert import RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST, RetriBertModel, RetriBertPreTrainedModel
        from .models.roberta import (
            ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaForCausalLM,
            RobertaForMaskedLM,
            RobertaForMultipleChoice,
            RobertaForQuestionAnswering,
            RobertaForSequenceClassification,
            RobertaForTokenClassification,
            RobertaModel,
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            RobertaPreTrainedModel,
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        )
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        from .models.roberta_prelayernorm import (
            ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaPreLayerNormForCausalLM,
            RobertaPreLayerNormForMaskedLM,
            RobertaPreLayerNormForMultipleChoice,
            RobertaPreLayerNormForQuestionAnswering,
            RobertaPreLayerNormForSequenceClassification,
            RobertaPreLayerNormForTokenClassification,
            RobertaPreLayerNormModel,
            RobertaPreLayerNormPreTrainedModel,
        )
Weiwe Shi's avatar
Weiwe Shi committed
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        from .models.roc_bert import (
            ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoCBertForCausalLM,
            RoCBertForMaskedLM,
            RoCBertForMultipleChoice,
            RoCBertForPreTraining,
            RoCBertForQuestionAnswering,
            RoCBertForSequenceClassification,
            RoCBertForTokenClassification,
            RoCBertLayer,
            RoCBertModel,
            RoCBertPreTrainedModel,
            load_tf_weights_in_roc_bert,
        )
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        from .models.roformer import (
            ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoFormerForCausalLM,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
            RoFormerLayer,
            RoFormerModel,
            RoFormerPreTrainedModel,
            load_tf_weights_in_roformer,
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
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        from .models.rwkv import (
            RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
            RwkvForCausalLM,
            RwkvModel,
            RwkvPreTrainedModel,
        )
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        from .models.sam import (
            SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            SamModel,
            SamPreTrainedModel,
        )
NielsRogge's avatar
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        from .models.segformer import (
            SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SegformerDecodeHead,
            SegformerForImageClassification,
            SegformerForSemanticSegmentation,
            SegformerLayer,
            SegformerModel,
            SegformerPreTrainedModel,
        )
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        from .models.sew import (
            SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWForCTC,
            SEWForSequenceClassification,
            SEWModel,
            SEWPreTrainedModel,
        )
        from .models.sew_d import (
            SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWDForCTC,
            SEWDForSequenceClassification,
            SEWDModel,
            SEWDPreTrainedModel,
        )
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        from .models.speech_encoder_decoder import SpeechEncoderDecoderModel
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        from .models.speech_to_text import (
            SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Speech2TextForConditionalGeneration,
            Speech2TextModel,
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            Speech2TextPreTrainedModel,
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        )
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        from .models.speech_to_text_2 import Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel
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        from .models.speecht5 import (
            SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            SpeechT5ForSpeechToSpeech,
            SpeechT5ForSpeechToText,
            SpeechT5ForTextToSpeech,
            SpeechT5HifiGan,
            SpeechT5Model,
            SpeechT5PreTrainedModel,
        )
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        from .models.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            SplinterForPreTraining,
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            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )
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        from .models.squeezebert import (
            SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            SqueezeBertForMaskedLM,
            SqueezeBertForMultipleChoice,
            SqueezeBertForQuestionAnswering,
            SqueezeBertForSequenceClassification,
            SqueezeBertForTokenClassification,
            SqueezeBertModel,
            SqueezeBertModule,
            SqueezeBertPreTrainedModel,
        )
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        from .models.swiftformer import (
            SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwiftFormerForImageClassification,
            SwiftFormerModel,
            SwiftFormerPreTrainedModel,
        )
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        from .models.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
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            SwinBackbone,
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            SwinForImageClassification,
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            SwinForMaskedImageModeling,
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            SwinModel,
            SwinPreTrainedModel,
        )
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        from .models.swin2sr import (
            SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swin2SRForImageSuperResolution,
            Swin2SRModel,
            Swin2SRPreTrainedModel,
        )
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        from .models.swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )
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        from .models.switch_transformers import (
            SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwitchTransformersEncoderModel,
            SwitchTransformersForConditionalGeneration,
            SwitchTransformersModel,
            SwitchTransformersPreTrainedModel,
            SwitchTransformersSparseMLP,
            SwitchTransformersTop1Router,
        )
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        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
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        from .models.table_transformer import (
            TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TableTransformerForObjectDetection,
            TableTransformerModel,
            TableTransformerPreTrainedModel,
        )
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        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )
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        from .models.time_series_transformer import (
            TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimeSeriesTransformerForPrediction,
            TimeSeriesTransformerModel,
            TimeSeriesTransformerPreTrainedModel,
        )
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        from .models.timesformer import (
            TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimesformerForVideoClassification,
            TimesformerModel,
            TimesformerPreTrainedModel,
        )
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        from .models.timm_backbone import TimmBackbone
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        from .models.trajectory_transformer import (
            TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TrajectoryTransformerModel,
            TrajectoryTransformerPreTrainedModel,
        )
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        from .models.transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )
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        from .models.trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel
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        from .models.tvlt import (
            TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TvltForAudioVisualClassification,
            TvltForPreTraining,
            TvltModel,
            TvltPreTrainedModel,
        )
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        from .models.unispeech import (
            UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
            UniSpeechForCTC,
            UniSpeechForPreTraining,
            UniSpeechForSequenceClassification,
            UniSpeechModel,
            UniSpeechPreTrainedModel,
        )
        from .models.unispeech_sat import (
            UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            UniSpeechSatForAudioFrameClassification,
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            UniSpeechSatForCTC,
            UniSpeechSatForPreTraining,
            UniSpeechSatForSequenceClassification,
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            UniSpeechSatForXVector,
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            UniSpeechSatModel,
            UniSpeechSatPreTrainedModel,
        )
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        from .models.upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel
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        from .models.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
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        from .models.videomae import (
            VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            VideoMAEForPreTraining,
            VideoMAEForVideoClassification,
            VideoMAEModel,
            VideoMAEPreTrainedModel,
        )
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        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
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            ViltForTokenClassification,
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            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )
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        from .models.vision_encoder_decoder import VisionEncoderDecoderModel
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        from .models.vision_text_dual_encoder import VisionTextDualEncoderModel
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        from .models.visual_bert import (
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            VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VisualBertForMultipleChoice,
            VisualBertForPreTraining,
            VisualBertForQuestionAnswering,
            VisualBertForRegionToPhraseAlignment,
            VisualBertForVisualReasoning,
            VisualBertLayer,
            VisualBertModel,
            VisualBertPreTrainedModel,
        )
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        from .models.vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
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            ViTForMaskedImageModeling,
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            ViTModel,
            ViTPreTrainedModel,
        )
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        from .models.vit_hybrid import (
            VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTHybridForImageClassification,
            ViTHybridModel,
            ViTHybridPreTrainedModel,
        )
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        from .models.vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
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        from .models.vit_msn import (
            VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMSNForImageClassification,
            ViTMSNModel,
            ViTMSNPreTrainedModel,
        )
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        from .models.wav2vec2 import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
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            Wav2Vec2ForAudioFrameClassification,
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            Wav2Vec2ForCTC,
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            Wav2Vec2ForMaskedLM,
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            Wav2Vec2ForPreTraining,
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            Wav2Vec2ForSequenceClassification,
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            Wav2Vec2ForXVector,
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            Wav2Vec2Model,
            Wav2Vec2PreTrainedModel,
        )
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        from .models.wav2vec2_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Wav2Vec2ConformerForAudioFrameClassification,
            Wav2Vec2ConformerForCTC,
            Wav2Vec2ConformerForPreTraining,
            Wav2Vec2ConformerForSequenceClassification,
            Wav2Vec2ConformerForXVector,
            Wav2Vec2ConformerModel,
            Wav2Vec2ConformerPreTrainedModel,
        )
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        from .models.wavlm import (
            WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
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            WavLMForAudioFrameClassification,
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            WavLMForCTC,
            WavLMForSequenceClassification,
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            WavLMForXVector,
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            WavLMModel,
            WavLMPreTrainedModel,
        )
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        from .models.whisper import (
            WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
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            WhisperForAudioClassification,
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            WhisperForConditionalGeneration,
            WhisperModel,
            WhisperPreTrainedModel,
        )
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        from .models.x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )
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        from .models.xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel
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        from .models.xlm import (
            XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMForMultipleChoice,
            XLMForQuestionAnswering,
            XLMForQuestionAnsweringSimple,
            XLMForSequenceClassification,
            XLMForTokenClassification,
            XLMModel,
            XLMPreTrainedModel,
            XLMWithLMHeadModel,
        )
        from .models.xlm_prophetnet import (
            XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMProphetNetDecoder,
            XLMProphetNetEncoder,
            XLMProphetNetForCausalLM,
            XLMProphetNetForConditionalGeneration,
            XLMProphetNetModel,
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            XLMProphetNetPreTrainedModel,
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        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
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            XLMRobertaPreTrainedModel,
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        )
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        from .models.xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )
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        from .models.xlnet import (
            XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLNetForMultipleChoice,
            XLNetForQuestionAnswering,
            XLNetForQuestionAnsweringSimple,
            XLNetForSequenceClassification,
            XLNetForTokenClassification,
            XLNetLMHeadModel,
            XLNetModel,
            XLNetPreTrainedModel,
            load_tf_weights_in_xlnet,
        )
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        from .models.xmod import (
            XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
            XmodForCausalLM,
            XmodForMaskedLM,
            XmodForMultipleChoice,
            XmodForQuestionAnswering,
            XmodForSequenceClassification,
            XmodForTokenClassification,
            XmodModel,
            XmodPreTrainedModel,
        )
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        from .models.yolos import (
            YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
            YolosForObjectDetection,
            YolosModel,
            YolosPreTrainedModel,
        )
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        from .models.yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )
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        # Optimization
        from .optimization import (
            Adafactor,
            AdamW,
            get_constant_schedule,
            get_constant_schedule_with_warmup,
            get_cosine_schedule_with_warmup,
            get_cosine_with_hard_restarts_schedule_with_warmup,
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            get_inverse_sqrt_schedule,
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            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )
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        from .pytorch_utils import Conv1D, apply_chunking_to_forward, prune_layer
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        # Trainer
        from .trainer import Trainer
        from .trainer_pt_utils import torch_distributed_zero_first
        from .trainer_seq2seq import Seq2SeqTrainer

    # TensorFlow
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    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        # Import the same objects as dummies to get them in the namespace.
        # They will raise an import error if the user tries to instantiate / use them.
        from .utils.dummy_tf_objects import *
    else:
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        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
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        from .generation import (
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            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
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            TFGenerationMixin,
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            TFLogitsProcessor,
            TFLogitsProcessorList,
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            TFLogitsWarper,
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            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
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            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
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            tf_top_k_top_p_filtering,
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        )
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        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
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        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
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        # TensorFlow model imports
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        from .models.albert import (
            TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAlbertForMaskedLM,
            TFAlbertForMultipleChoice,
            TFAlbertForPreTraining,
            TFAlbertForQuestionAnswering,
            TFAlbertForSequenceClassification,
            TFAlbertForTokenClassification,
            TFAlbertMainLayer,
            TFAlbertModel,
            TFAlbertPreTrainedModel,
        )
        from .models.auto import (
            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
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            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
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            TF_MODEL_FOR_MASKED_LM_MAPPING,
            TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            TF_MODEL_FOR_PRETRAINING_MAPPING,
            TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
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            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
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            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
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            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
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            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
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            TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
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            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForCausalLM,
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            TFAutoModelForDocumentQuestionAnswering,
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            TFAutoModelForImageClassification,
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            TFAutoModelForMaskedLM,
            TFAutoModelForMultipleChoice,
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            TFAutoModelForNextSentencePrediction,
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            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
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            TFAutoModelForSemanticSegmentation,
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            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
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            TFAutoModelForSpeechSeq2Seq,
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            TFAutoModelForTableQuestionAnswering,
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            TFAutoModelForTokenClassification,
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            TFAutoModelForVision2Seq,
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            TFAutoModelForZeroShotImageClassification,
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            TFAutoModelWithLMHead,
        )
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        from .models.bart import (
            TFBartForConditionalGeneration,
            TFBartForSequenceClassification,
            TFBartModel,
            TFBartPretrainedModel,
        )
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        from .models.bert import (
            TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBertEmbeddings,
            TFBertForMaskedLM,
            TFBertForMultipleChoice,
            TFBertForNextSentencePrediction,
            TFBertForPreTraining,
            TFBertForQuestionAnswering,
            TFBertForSequenceClassification,
            TFBertForTokenClassification,
            TFBertLMHeadModel,
            TFBertMainLayer,
            TFBertModel,
            TFBertPreTrainedModel,
        )
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        from .models.blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )
        from .models.blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )
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Matt committed
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        from .models.blip import (
            TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBlipForConditionalGeneration,
            TFBlipForImageTextRetrieval,
            TFBlipForQuestionAnswering,
            TFBlipModel,
            TFBlipPreTrainedModel,
            TFBlipTextModel,
            TFBlipVisionModel,
        )
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        from .models.camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFCamembertForCausalLM,
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            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
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            TFCamembertPreTrainedModel,
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        )
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        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
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abhishek thakur committed
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        from .models.convbert import (
            TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFConvBertForMaskedLM,
            TFConvBertForMultipleChoice,
            TFConvBertForQuestionAnswering,
            TFConvBertForSequenceClassification,
            TFConvBertForTokenClassification,
            TFConvBertLayer,
            TFConvBertModel,
            TFConvBertPreTrainedModel,
        )
Sayak Paul's avatar
Sayak Paul committed
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        from .models.convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel
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        from .models.ctrl import (
            TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCTRLForSequenceClassification,
            TFCTRLLMHeadModel,
            TFCTRLModel,
            TFCTRLPreTrainedModel,
        )
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        from .models.cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )
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        from .models.data2vec import (
            TFData2VecVisionForImageClassification,
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            TFData2VecVisionForSemanticSegmentation,
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            TFData2VecVisionModel,
            TFData2VecVisionPreTrainedModel,
        )
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        from .models.deberta import (
            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaForMaskedLM,
            TFDebertaForQuestionAnswering,
            TFDebertaForSequenceClassification,
            TFDebertaForTokenClassification,
            TFDebertaModel,
            TFDebertaPreTrainedModel,
        )
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        from .models.deberta_v2 import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaV2ForMaskedLM,
            TFDebertaV2ForQuestionAnswering,
            TFDebertaV2ForSequenceClassification,
            TFDebertaV2ForTokenClassification,
            TFDebertaV2Model,
            TFDebertaV2PreTrainedModel,
        )
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        from .models.deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )
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        from .models.distilbert import (
            TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDistilBertForMaskedLM,
            TFDistilBertForMultipleChoice,
            TFDistilBertForQuestionAnswering,
            TFDistilBertForSequenceClassification,
            TFDistilBertForTokenClassification,
            TFDistilBertMainLayer,
            TFDistilBertModel,
            TFDistilBertPreTrainedModel,
        )
        from .models.dpr import (
            TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDPRContextEncoder,
            TFDPRPretrainedContextEncoder,
            TFDPRPretrainedQuestionEncoder,
            TFDPRPretrainedReader,
            TFDPRQuestionEncoder,
            TFDPRReader,
        )
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        from .models.efficientformer import (
            TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEfficientFormerForImageClassification,
            TFEfficientFormerForImageClassificationWithTeacher,
            TFEfficientFormerModel,
            TFEfficientFormerPreTrainedModel,
        )
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        from .models.electra import (
            TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFElectraForMaskedLM,
            TFElectraForMultipleChoice,
            TFElectraForPreTraining,
            TFElectraForQuestionAnswering,
            TFElectraForSequenceClassification,
            TFElectraForTokenClassification,
            TFElectraModel,
            TFElectraPreTrainedModel,
        )
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        from .models.encoder_decoder import TFEncoderDecoderModel
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        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEsmForMaskedLM,
            TFEsmForSequenceClassification,
            TFEsmForTokenClassification,
            TFEsmModel,
            TFEsmPreTrainedModel,
        )
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        from .models.flaubert import (
            TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFlaubertForMultipleChoice,
            TFFlaubertForQuestionAnsweringSimple,
            TFFlaubertForSequenceClassification,
            TFFlaubertForTokenClassification,
            TFFlaubertModel,
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            TFFlaubertPreTrainedModel,
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            TFFlaubertWithLMHeadModel,
        )
        from .models.funnel import (
            TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFunnelBaseModel,
            TFFunnelForMaskedLM,
            TFFunnelForMultipleChoice,
            TFFunnelForPreTraining,
            TFFunnelForQuestionAnswering,
            TFFunnelForSequenceClassification,
            TFFunnelForTokenClassification,
            TFFunnelModel,
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            TFFunnelPreTrainedModel,
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        )
        from .models.gpt2 import (
            TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGPT2DoubleHeadsModel,
            TFGPT2ForSequenceClassification,
            TFGPT2LMHeadModel,
            TFGPT2MainLayer,
            TFGPT2Model,
            TFGPT2PreTrainedModel,
        )
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        from .models.gptj import (
            TFGPTJForCausalLM,
            TFGPTJForQuestionAnswering,
            TFGPTJForSequenceClassification,
            TFGPTJModel,
            TFGPTJPreTrainedModel,
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        )
        from .models.groupvit import (
            TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGroupViTModel,
            TFGroupViTPreTrainedModel,
            TFGroupViTTextModel,
            TFGroupViTVisionModel,
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        )
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        from .models.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
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        from .models.layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
            TFLayoutLMForQuestionAnswering,
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
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        from .models.layoutlmv3 import (
            TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMv3ForQuestionAnswering,
            TFLayoutLMv3ForSequenceClassification,
            TFLayoutLMv3ForTokenClassification,
            TFLayoutLMv3Model,
            TFLayoutLMv3PreTrainedModel,
        )
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        from .models.led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel
        from .models.longformer import (
            TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLongformerForMaskedLM,
            TFLongformerForMultipleChoice,
            TFLongformerForQuestionAnswering,
            TFLongformerForSequenceClassification,
            TFLongformerForTokenClassification,
            TFLongformerModel,
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            TFLongformerPreTrainedModel,
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            TFLongformerSelfAttention,
        )
        from .models.lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )
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        from .models.marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
        from .models.mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel
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        from .models.mobilebert import (
            TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMobileBertForMaskedLM,
            TFMobileBertForMultipleChoice,
            TFMobileBertForNextSentencePrediction,
            TFMobileBertForPreTraining,
            TFMobileBertForQuestionAnswering,
            TFMobileBertForSequenceClassification,
            TFMobileBertForTokenClassification,
            TFMobileBertMainLayer,
            TFMobileBertModel,
            TFMobileBertPreTrainedModel,
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        )
        from .models.mobilevit import (
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
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        )
        from .models.mpnet import (
            TF_MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMPNetForMaskedLM,
            TFMPNetForMultipleChoice,
            TFMPNetForQuestionAnswering,
            TFMPNetForSequenceClassification,
            TFMPNetForTokenClassification,
            TFMPNetMainLayer,
            TFMPNetModel,
            TFMPNetPreTrainedModel,
        )
        from .models.mt5 import TFMT5EncoderModel, TFMT5ForConditionalGeneration, TFMT5Model
        from .models.openai import (
            TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFOpenAIGPTDoubleHeadsModel,
            TFOpenAIGPTForSequenceClassification,
            TFOpenAIGPTLMHeadModel,
            TFOpenAIGPTMainLayer,
            TFOpenAIGPTModel,
            TFOpenAIGPTPreTrainedModel,
        )
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Arthur committed
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        from .models.opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel
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        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
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        from .models.regnet import (
            TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRegNetForImageClassification,
            TFRegNetModel,
            TFRegNetPreTrainedModel,
        )
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        from .models.rembert import (
            TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRemBertForCausalLM,
            TFRemBertForMaskedLM,
            TFRemBertForMultipleChoice,
            TFRemBertForQuestionAnswering,
            TFRemBertForSequenceClassification,
            TFRemBertForTokenClassification,
            TFRemBertLayer,
            TFRemBertModel,
            TFRemBertPreTrainedModel,
        )
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        from .models.resnet import (
            TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFResNetForImageClassification,
            TFResNetModel,
            TFResNetPreTrainedModel,
        )
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        from .models.roberta import (
            TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFRobertaForCausalLM,
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            TFRobertaForMaskedLM,
            TFRobertaForMultipleChoice,
            TFRobertaForQuestionAnswering,
            TFRobertaForSequenceClassification,
            TFRobertaForTokenClassification,
            TFRobertaMainLayer,
            TFRobertaModel,
            TFRobertaPreTrainedModel,
        )
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        from .models.roberta_prelayernorm import (
            TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRobertaPreLayerNormForCausalLM,
            TFRobertaPreLayerNormForMaskedLM,
            TFRobertaPreLayerNormForMultipleChoice,
            TFRobertaPreLayerNormForQuestionAnswering,
            TFRobertaPreLayerNormForSequenceClassification,
            TFRobertaPreLayerNormForTokenClassification,
            TFRobertaPreLayerNormMainLayer,
            TFRobertaPreLayerNormModel,
            TFRobertaPreLayerNormPreTrainedModel,
        )
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        from .models.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
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        from .models.sam import (
            TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSamModel,
            TFSamPreTrainedModel,
        )
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        from .models.segformer import (
            TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSegformerDecodeHead,
            TFSegformerForImageClassification,
            TFSegformerForSemanticSegmentation,
            TFSegformerModel,
            TFSegformerPreTrainedModel,
        )
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        from .models.speech_to_text import (
            TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSpeech2TextForConditionalGeneration,
            TFSpeech2TextModel,
            TFSpeech2TextPreTrainedModel,
        )
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        from .models.swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )
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        from .models.t5 import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFT5EncoderModel,
            TFT5ForConditionalGeneration,
            TFT5Model,
            TFT5PreTrainedModel,
        )
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        from .models.tapas import (
            TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTapasForMaskedLM,
            TFTapasForQuestionAnswering,
            TFTapasForSequenceClassification,
            TFTapasModel,
            TFTapasPreTrainedModel,
        )
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        from .models.transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )
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        from .models.vision_encoder_decoder import TFVisionEncoderDecoderModel
Matt's avatar
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        from .models.vision_text_dual_encoder import TFVisionTextDualEncoderModel
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        from .models.vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel
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        from .models.vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel
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        from .models.wav2vec2 import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWav2Vec2ForCTC,
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            TFWav2Vec2ForSequenceClassification,
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            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
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        from .models.whisper import (
            TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWhisperForConditionalGeneration,
            TFWhisperModel,
            TFWhisperPreTrainedModel,
        )
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        from .models.xglm import (
            TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXGLMForCausalLM,
            TFXGLMModel,
            TFXGLMPreTrainedModel,
        )
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        from .models.xlm import (
            TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLMForMultipleChoice,
            TFXLMForQuestionAnsweringSimple,
            TFXLMForSequenceClassification,
            TFXLMForTokenClassification,
            TFXLMMainLayer,
            TFXLMModel,
            TFXLMPreTrainedModel,
            TFXLMWithLMHeadModel,
        )
        from .models.xlm_roberta import (
            TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
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            TFXLMRobertaForCausalLM,
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            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
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            TFXLMRobertaPreTrainedModel,
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        )
        from .models.xlnet import (
            TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLNetForMultipleChoice,
            TFXLNetForQuestionAnsweringSimple,
            TFXLNetForSequenceClassification,
            TFXLNetForTokenClassification,
            TFXLNetLMHeadModel,
            TFXLNetMainLayer,
            TFXLNetModel,
            TFXLNetPreTrainedModel,
        )

        # Optimization
        from .optimization_tf import AdamWeightDecay, GradientAccumulator, WarmUp, create_optimizer

        # Trainer
        from .trainer_tf import TFTrainer

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    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
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        # Import the same objects as dummies to get them in the namespace.
        # They will raise an import error if the user tries to instantiate / use them.
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        from .utils.dummy_flax_objects import *
    else:
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        from .generation import (
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            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
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            FlaxGenerationMixin,
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            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
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            FlaxMinLengthLogitsProcessor,
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            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
        )
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        from .modeling_flax_utils import FlaxPreTrainedModel
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        # Flax model imports
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        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
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        from .models.auto import (
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Suraj Patil committed
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            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
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            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_MASKED_LM_MAPPING,
            FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            FLAX_MODEL_FOR_PRETRAINING_MAPPING,
            FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
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            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
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            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
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            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
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            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
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            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
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            FlaxAutoModelForCausalLM,
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            FlaxAutoModelForImageClassification,
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            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
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            FlaxAutoModelForSeq2SeqLM,
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            FlaxAutoModelForSequenceClassification,
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            FlaxAutoModelForSpeechSeq2Seq,
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            FlaxAutoModelForTokenClassification,
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            FlaxAutoModelForVision2Seq,
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        )
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.bart import (
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            FlaxBartDecoderPreTrainedModel,
            FlaxBartForCausalLM,
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            FlaxBartForConditionalGeneration,
            FlaxBartForQuestionAnswering,
            FlaxBartForSequenceClassification,
            FlaxBartModel,
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            FlaxBartPreTrainedModel,
Daniel Stancl's avatar
Daniel Stancl committed
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        )
Kamal Raj's avatar
Kamal Raj committed
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        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
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        from .models.bert import (
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            FlaxBertForCausalLM,
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            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
6928
        from .models.big_bird import (
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            FlaxBigBirdForCausalLM,
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Vasudev Gupta committed
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            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )
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        from .models.blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )
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        from .models.blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )
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        from .models.clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
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        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
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        from .models.electra import (
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            FlaxElectraForCausalLM,
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            FlaxElectraForMaskedLM,
            FlaxElectraForMultipleChoice,
            FlaxElectraForPreTraining,
            FlaxElectraForQuestionAnswering,
            FlaxElectraForSequenceClassification,
            FlaxElectraForTokenClassification,
            FlaxElectraModel,
            FlaxElectraPreTrainedModel,
        )
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        from .models.encoder_decoder import FlaxEncoderDecoderModel
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        from .models.gpt2 import FlaxGPT2LMHeadModel, FlaxGPT2Model, FlaxGPT2PreTrainedModel
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Suraj Patil committed
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        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
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Suraj Patil committed
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        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
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Daniel Stancl committed
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        from .models.longt5 import FlaxLongT5ForConditionalGeneration, FlaxLongT5Model, FlaxLongT5PreTrainedModel
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        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
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        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
Crystina's avatar
Crystina committed
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        from .models.mt5 import FlaxMT5EncoderModel, FlaxMT5ForConditionalGeneration, FlaxMT5Model
Arthur's avatar
Arthur committed
6991
        from .models.opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel
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        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
Shubhamai's avatar
Shubhamai committed
6993
        from .models.regnet import FlaxRegNetForImageClassification, FlaxRegNetModel, FlaxRegNetPreTrainedModel
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Shubhamai committed
6994
        from .models.resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel
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        from .models.roberta import (
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            FlaxRobertaForCausalLM,
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            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
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        from .models.roberta_prelayernorm import (
            FlaxRobertaPreLayerNormForCausalLM,
            FlaxRobertaPreLayerNormForMaskedLM,
            FlaxRobertaPreLayerNormForMultipleChoice,
            FlaxRobertaPreLayerNormForQuestionAnswering,
            FlaxRobertaPreLayerNormForSequenceClassification,
            FlaxRobertaPreLayerNormForTokenClassification,
            FlaxRobertaPreLayerNormModel,
            FlaxRobertaPreLayerNormPreTrainedModel,
        )
Daniel Stancl's avatar
Daniel Stancl committed
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        from .models.roformer import (
            FlaxRoFormerForMaskedLM,
            FlaxRoFormerForMultipleChoice,
            FlaxRoFormerForQuestionAnswering,
            FlaxRoFormerForSequenceClassification,
            FlaxRoFormerForTokenClassification,
            FlaxRoFormerModel,
            FlaxRoFormerPreTrainedModel,
        )
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        from .models.speech_encoder_decoder import FlaxSpeechEncoderDecoderModel
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Crystina committed
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        from .models.t5 import FlaxT5EncoderModel, FlaxT5ForConditionalGeneration, FlaxT5Model, FlaxT5PreTrainedModel
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        from .models.vision_encoder_decoder import FlaxVisionEncoderDecoderModel
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        from .models.vision_text_dual_encoder import FlaxVisionTextDualEncoderModel
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        from .models.vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel
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        from .models.wav2vec2 import (
            FlaxWav2Vec2ForCTC,
            FlaxWav2Vec2ForPreTraining,
            FlaxWav2Vec2Model,
            FlaxWav2Vec2PreTrainedModel,
        )
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        from .models.whisper import (
            FlaxWhisperForAudioClassification,
            FlaxWhisperForConditionalGeneration,
            FlaxWhisperModel,
            FlaxWhisperPreTrainedModel,
        )
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        from .models.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
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        from .models.xlm_roberta import (
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            FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaxXLMRobertaForCausalLM,
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            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
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            FlaxXLMRobertaPreTrainedModel,
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        )
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else:
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    import sys

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Sylvain Gugger committed
7058
    sys.modules[__name__] = _LazyModule(
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        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
        extra_objects={"__version__": __version__},
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    )
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if not is_tf_available() and not is_torch_available() and not is_flax_available():
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    logger.warning(
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        "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. "
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        "Models won't be available and only tokenizers, configuration "
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        "and file/data utilities can be used."
    )