__init__.py 168 KB
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# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

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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__ = "4.19.0.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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    _LazyModule,
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    is_flax_available,
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    is_scatter_available,
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    is_sentencepiece_available,
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    is_speech_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_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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    "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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    "hf_argparser": ["HfArgumentParser"],
    "integrations": [
        "is_comet_available",
        "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"],
    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
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        "FEATURE_EXTRACTOR_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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        "AutoProcessor",
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        "AutoTokenizer",
    ],
    "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.blenderbot": ["BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BlenderbotConfig", "BlenderbotTokenizer"],
    "models.blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallTokenizer",
    ],
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    "models.bort": [],
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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.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
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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.cpm": ["CpmTokenizer"],
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    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
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    "models.data2vec": ["DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "Data2VecAudioConfig", "Data2VecTextConfig"],
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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.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
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    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
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    "models.dialogpt": [],
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    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
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    "models.dit": [],
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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.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
    "models.encoder_decoder": ["EncoderDecoderConfig"],
    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
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    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig", "FNetTokenizer"],
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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.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_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
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    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
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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.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
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    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
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    "models.layoutxlm": ["LayoutXLMProcessor"],
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    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
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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.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig"],
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    "models.mbart": ["MBartConfig"],
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    "models.mbart50": [],
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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.mluke": [],
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    "models.mmbt": ["MMBTConfig"],
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
    "models.mt5": ["MT5Config"],
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    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
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    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
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    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
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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.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.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.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
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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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    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
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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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    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
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    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
    "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.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
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    "models.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
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    "models.vilt": ["VILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViltConfig", "ViltFeatureExtractor", "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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    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
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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_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.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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    "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",
        "FeatureExtractionPipeline",
        "FillMaskPipeline",
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        "ImageClassificationPipeline",
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        "ImageSegmentationPipeline",
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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",
        "ZeroShotClassificationPipeline",
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        "ZeroShotImageClassificationPipeline",
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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",
    ],
    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
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    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "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",
        "cached_path",
        "is_apex_available",
        "is_datasets_available",
        "is_faiss_available",
        "is_flax_available",
        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
        "is_torch_tpu_available",
        "is_vision_available",
        "logging",
    ],
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}
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# sentencepiece-backed objects
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if is_sentencepiece_available():
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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.deberta_v2"].append("DebertaV2Tokenizer")
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    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
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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")
    _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.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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else:
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    from .utils import dummy_sentencepiece_objects
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    _import_structure["utils.dummy_sentencepiece_objects"] = [
        name for name in dir(dummy_sentencepiece_objects) if not name.startswith("_")
    ]

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# tokenizers-backed objects
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if is_tokenizers_available():
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    # Fast tokenizers
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    _import_structure["models.realm"].append("RealmTokenizerFast")
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    _import_structure["models.xglm"].append("XGLMTokenizerFast")
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    _import_structure["models.fnet"].append("FNetTokenizerFast")
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    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
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    _import_structure["models.clip"].append("CLIPTokenizerFast")
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    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
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    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
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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.camembert"].append("CamembertTokenizerFast")
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    _import_structure["models.deberta"].append("DebertaTokenizerFast")
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    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
    _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.layoutxlm"].append("LayoutXLMTokenizerFast")
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    _import_structure["models.led"].append("LEDTokenizerFast")
    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
    _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")
    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
    _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.splinter"].append("SplinterTokenizerFast")
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    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
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else:
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    from .utils import dummy_tokenizers_objects
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    _import_structure["utils.dummy_tokenizers_objects"] = [
        name for name in dir(dummy_tokenizers_objects) if not name.startswith("_")
    ]
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if is_sentencepiece_available() and is_tokenizers_available():
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
else:
    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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# Speech-specific objects
if is_speech_available():
    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")
else:
    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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if is_sentencepiece_available() and is_speech_available():
    _import_structure["models.speech_to_text"].append("Speech2TextProcessor")
else:
    from .utils import dummy_sentencepiece_and_speech_objects

    _import_structure["utils.dummy_sentencepiece_and_speech_objects"] = [
        name for name in dir(dummy_sentencepiece_and_speech_objects) if not name.startswith("_")
    ]

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# Vision-specific objects
if is_vision_available():
    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
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    _import_structure["models.beit"].append("BeitFeatureExtractor")
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    _import_structure["models.clip"].append("CLIPFeatureExtractor")
    _import_structure["models.clip"].append("CLIPProcessor")
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    _import_structure["models.convnext"].append("ConvNextFeatureExtractor")
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    _import_structure["models.deit"].append("DeiTFeatureExtractor")
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    _import_structure["models.detr"].append("DetrFeatureExtractor")
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    _import_structure["models.dpt"].append("DPTFeatureExtractor")
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    _import_structure["models.glpn"].append("GLPNFeatureExtractor")
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    _import_structure["models.imagegpt"].append("ImageGPTFeatureExtractor")
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    _import_structure["models.layoutlmv2"].append("LayoutLMv2FeatureExtractor")
    _import_structure["models.layoutlmv2"].append("LayoutLMv2Processor")
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    _import_structure["models.layoutxlm"].append("LayoutXLMProcessor")
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    _import_structure["models.maskformer"].append("MaskFormerFeatureExtractor")
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    _import_structure["models.perceiver"].append("PerceiverFeatureExtractor")
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    _import_structure["models.poolformer"].append("PoolFormerFeatureExtractor")
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    _import_structure["models.segformer"].append("SegformerFeatureExtractor")
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    _import_structure["models.vilt"].append("ViltFeatureExtractor")
    _import_structure["models.vilt"].append("ViltProcessor")
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    _import_structure["models.vit"].append("ViTFeatureExtractor")
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else:
    from .utils import dummy_vision_objects

    _import_structure["utils.dummy_vision_objects"] = [
        name for name in dir(dummy_vision_objects) if not name.startswith("_")
    ]

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# Timm-backed objects
if is_timm_available() and is_vision_available():
    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
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            "DetrPreTrainedModel",
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        ]
    )
else:
    from .utils import dummy_timm_objects

    _import_structure["utils.dummy_timm_objects"] = [
        name for name in dir(dummy_timm_objects) if not name.startswith("_")
    ]

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if is_scatter_available():
    _import_structure["models.tapas"].extend(
        [
            "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TapasForMaskedLM",
            "TapasForQuestionAnswering",
            "TapasForSequenceClassification",
            "TapasModel",
            "TapasPreTrainedModel",
            "load_tf_weights_in_tapas",
        ]
    )
else:
    from .utils import dummy_scatter_objects

    _import_structure["utils.dummy_scatter_objects"] = [
        name for name in dir(dummy_scatter_objects) if not name.startswith("_")
    ]

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# PyTorch-backed objects
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if is_torch_available():
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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_beam_constraints"] = [
        "Constraint",
        "ConstraintListState",
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        "DisjunctiveConstraint",
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        "PhrasalConstraint",
    ]
    _import_structure["generation_beam_search"] = ["BeamScorer", "BeamSearchScorer", "ConstrainedBeamSearchScorer"]
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    _import_structure["generation_logits_process"] = [
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        "ForcedBOSTokenLogitsProcessor",
        "ForcedEOSTokenLogitsProcessor",
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        "HammingDiversityLogitsProcessor",
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        "InfNanRemoveLogitsProcessor",
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        "LogitsProcessor",
        "LogitsProcessorList",
        "LogitsWarper",
        "MinLengthLogitsProcessor",
        "NoBadWordsLogitsProcessor",
        "NoRepeatNGramLogitsProcessor",
        "PrefixConstrainedLogitsProcessor",
        "RepetitionPenaltyLogitsProcessor",
        "TemperatureLogitsWarper",
        "TopKLogitsWarper",
        "TopPLogitsWarper",
    ]
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    _import_structure["generation_stopping_criteria"] = [
        "MaxLengthCriteria",
        "MaxTimeCriteria",
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        "StoppingCriteria",
        "StoppingCriteriaList",
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    ]
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    _import_structure["generation_utils"] = ["top_k_top_p_filtering"]
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    _import_structure["modeling_outputs"] = []
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    _import_structure["modeling_utils"] = ["Conv1D", "PreTrainedModel", "apply_chunking_to_forward", "prune_layer"]
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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",
        ]
    )
    _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_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_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",
            "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_VISION_2_SEQ_MAPPING",
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            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
            "AutoModel",
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            "AutoModelForAudioClassification",
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            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
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            "AutoModelForCausalLM",
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            "AutoModelForCTC",
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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",
            "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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            "AutoModelForVision2Seq",
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            "AutoModelWithLMHead",
        ]
    )
    _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.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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        ]
    )
    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
        ]
    )
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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.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
            "CLIPVisionModel",
        ]
    )
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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",
            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
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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.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
        ]
    )
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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",
            "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.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.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
    _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.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")
    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
            "FlaubertWithLMHeadModel",
        ]
    )
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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.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.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",
            "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_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
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            "GPTNeoForSequenceClassification",
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            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
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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.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.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
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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.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
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            "LEDPreTrainedModel",
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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.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
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            "LukeForMaskedLM",
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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.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
        ]
    )
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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.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.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",
        ]
    )
    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
    _import_structure["models.mt5"].extend(["MT5EncoderModel", "MT5ForConditionalGeneration", "MT5Model"])
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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.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.pegasus"].extend(
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        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
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    )
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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.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.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",
            "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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        ]
    )
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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.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.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "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.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwinForImageClassification",
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            "SwinForMaskedImageModeling",
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            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
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    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
    _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.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.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
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    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
            "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_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
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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.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.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",
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
        ]
    )
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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.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",
        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
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    _import_structure["pytorch_utils"] = []
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    _import_structure["sagemaker"] = []
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    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]
else:
    from .utils import dummy_pt_objects
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    _import_structure["utils.dummy_pt_objects"] = [name for name in dir(dummy_pt_objects) if not name.startswith("_")]

# TensorFlow-backed objects
if is_tf_available():
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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_tf_logits_process"] = [
        "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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    ]
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    _import_structure["generation_tf_utils"] = ["tf_top_k_top_p_filtering"]
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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_IMAGE_CLASSIFICATION_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",
            "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_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
            "TFAutoModelForCausalLM",
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            "TFAutoModelForImageClassification",
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            "TFAutoModelForMaskedLM",
            "TFAutoModelForMultipleChoice",
            "TFAutoModelForPreTraining",
            "TFAutoModelForQuestionAnswering",
            "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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            "TFAutoModelWithLMHead",
        ]
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    )
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    _import_structure["models.bart"].extend(["TFBartForConditionalGeneration", "TFBartModel", "TFBartPretrainedModel"])
    _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.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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    )
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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.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.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",
        ]
    )
    _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.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.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",
            "TFLayoutLMForSequenceClassification",
            "TFLayoutLMForTokenClassification",
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            "TFLayoutLMMainLayer",
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            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
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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",
        ]
    )
    _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.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.rembert"].extend(
        [
            "TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRemBertForCausalLM",
            "TFRemBertForMaskedLM",
            "TFRemBertForMultipleChoice",
            "TFRemBertForQuestionAnswering",
            "TFRemBertForSequenceClassification",
            "TFRemBertForTokenClassification",
            "TFRemBertLayer",
            "TFRemBertModel",
            "TFRemBertPreTrainedModel",
        ]
    )
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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.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
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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.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.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",
            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
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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",
            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
        ]
    )
    _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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else:
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    from .utils import dummy_tf_objects
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    _import_structure["utils.dummy_tf_objects"] = [name for name in dir(dummy_tf_objects) if not name.startswith("_")]

# FLAX-backed objects
if is_flax_available():
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    _import_structure["generation_flax_logits_process"] = [
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        "FlaxForcedBOSTokenLogitsProcessor",
        "FlaxForcedEOSTokenLogitsProcessor",
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        "FlaxLogitsProcessor",
        "FlaxLogitsProcessorList",
        "FlaxLogitsWarper",
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        "FlaxMinLengthLogitsProcessor",
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        "FlaxTemperatureLogitsWarper",
        "FlaxTopKLogitsWarper",
        "FlaxTopPLogitsWarper",
    ]
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    _import_structure["generation_flax_utils"] = []
    _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",
            "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",
            "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(
        [
            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
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    _import_structure["models.big_bird"].extend(
        [
            "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(
        [
            "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.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(["FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
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    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
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    _import_structure["models.roberta"].extend(
        [
            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
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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(["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.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
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    _import_structure["models.xlm_roberta"].extend(
        [
            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
        ]
    )
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else:
    from .utils import dummy_flax_objects

    _import_structure["utils.dummy_flax_objects"] = [
        name for name in dir(dummy_flax_objects) if not name.startswith("_")
    ]

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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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    from .hf_argparser import HfArgumentParser
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    # Integrations
    from .integrations import (
        is_comet_available,
        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.auto import (
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        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
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        FEATURE_EXTRACTOR_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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        AutoProcessor,
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        AutoTokenizer,
    )
    from .models.bart import BartConfig, BartTokenizer
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    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
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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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    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
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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.byt5 import ByT5Tokenizer
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    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
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    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
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    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
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    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
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    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
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    from .models.cpm import CpmTokenizer
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    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
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    from .models.data2vec import DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, Data2VecAudioConfig, Data2VecTextConfig
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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,
    )
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    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
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    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
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    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
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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.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
    from .models.encoder_decoder import EncoderDecoderConfig
    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
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    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig, FNetTokenizer
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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.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_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
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    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
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    from .models.herbert import HerbertTokenizer
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    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
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    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
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    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
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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,
        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
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    from .models.layoutxlm import LayoutXLMProcessor
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    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
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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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    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
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    from .models.mbart import MBartConfig
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    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
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    from .models.mmbt import MMBTConfig
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
    from .models.mt5 import MT5Config
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    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
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    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
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    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
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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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Gunjan Chhablani committed
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    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
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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
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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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    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.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
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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
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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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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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    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
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    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
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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
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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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    from .models.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
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    from .models.vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig, ViltFeatureExtractor, ViltProcessor
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    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
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    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
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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
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    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
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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_phoneme import Wav2Vec2PhonemeCTCTokenizer
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    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
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    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
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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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    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,
        FeatureExtractionPipeline,
        FillMaskPipeline,
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        ImageClassificationPipeline,
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        ImageSegmentationPipeline,
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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,
        ZeroShotClassificationPipeline,
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        ZeroShotImageClassificationPipeline,
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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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    # 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, 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,
        cached_path,
        is_apex_available,
        is_datasets_available,
        is_faiss_available,
        is_flax_available,
        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
        is_torch_tpu_available,
        is_vision_available,
        logging,
    )
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    if is_sentencepiece_available():
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
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        from .models.bartpho import BartphoTokenizer
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        from .models.bert_generation import BertGenerationTokenizer
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        from .models.big_bird import BigBirdTokenizer
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        from .models.camembert import CamembertTokenizer
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        from .models.deberta_v2 import DebertaV2Tokenizer
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        from .models.layoutxlm import LayoutXLMTokenizer
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        from .models.m2m_100 import M2M100Tokenizer
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        from .models.marian import MarianTokenizer
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        from .models.mbart import MBart50Tokenizer, MBartTokenizer
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        from .models.mluke import MLukeTokenizer
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        from .models.mt5 import MT5Tokenizer
        from .models.pegasus import PegasusTokenizer
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        from .models.plbart import PLBartTokenizer
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        from .models.reformer import ReformerTokenizer
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        from .models.rembert import RemBertTokenizer
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        from .models.speech_to_text import Speech2TextTokenizer
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        from .models.t5 import T5Tokenizer
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        from .models.xglm import XGLMTokenizer
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        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
    else:
        from .utils.dummy_sentencepiece_objects import *
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    if is_tokenizers_available():
        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
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        from .models.big_bird import BigBirdTokenizerFast
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        from .models.blenderbot import BlenderbotTokenizerFast
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        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
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        from .models.camembert import CamembertTokenizerFast
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        from .models.clip import CLIPTokenizerFast
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        from .models.convbert import ConvBertTokenizerFast
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        from .models.deberta import DebertaTokenizerFast
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        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
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        from .models.fnet import FNetTokenizerFast
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        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
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        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
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        from .models.layoutxlm import LayoutXLMTokenizerFast
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        from .models.led import LEDTokenizerFast
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
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        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
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        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
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        from .models.realm import RealmTokenizerFast
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        from .models.reformer import ReformerTokenizerFast
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        from .models.rembert import RemBertTokenizerFast
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        from .models.retribert import RetriBertTokenizerFast
        from .models.roberta import RobertaTokenizerFast
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        from .models.roformer import RoFormerTokenizerFast
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        from .models.splinter import SplinterTokenizerFast
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        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
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        from .models.xglm import XGLMTokenizerFast
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        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
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    else:
        from .utils.dummy_tokenizers_objects import *
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    if is_sentencepiece_available() and is_tokenizers_available():
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer
    else:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *

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    if is_speech_available():
        from .models.speech_to_text import Speech2TextFeatureExtractor
    else:
        from .utils.dummy_speech_objects import *
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    if is_speech_available() and is_sentencepiece_available():
        from .models.speech_to_text import Speech2TextProcessor
    else:
        from .utils.dummy_sentencepiece_and_speech_objects import *
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    if is_vision_available():
        from .image_utils import ImageFeatureExtractionMixin
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        from .models.beit import BeitFeatureExtractor
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        from .models.clip import CLIPFeatureExtractor, CLIPProcessor
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        from .models.convnext import ConvNextFeatureExtractor
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        from .models.deit import DeiTFeatureExtractor
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        from .models.detr import DetrFeatureExtractor
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        from .models.dpt import DPTFeatureExtractor
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        from .models.glpn import GLPNFeatureExtractor
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        from .models.imagegpt import ImageGPTFeatureExtractor
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        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2Processor
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        from .models.layoutxlm import LayoutXLMProcessor
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        from .models.maskformer import MaskFormerFeatureExtractor
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        from .models.perceiver import PerceiverFeatureExtractor
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        from .models.poolformer import PoolFormerFeatureExtractor
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        from .models.segformer import SegformerFeatureExtractor
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        from .models.vilt import ViltFeatureExtractor, ViltProcessor
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        from .models.vit import ViTFeatureExtractor
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    else:
        from .utils.dummy_vision_objects import *

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    # Modeling
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    if is_timm_available() and is_vision_available():
        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
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            DetrPreTrainedModel,
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        )
    else:
        from .utils.dummy_timm_objects import *
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    if is_scatter_available():
        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )
    else:
        from .utils.dummy_scatter_objects import *

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    if is_torch_available():
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        # 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,
        )
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        from .generation_beam_constraints import (
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
            PhrasalConstraint,
        )
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        from .generation_beam_search import BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
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        from .generation_logits_process import (
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            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
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            HammingDiversityLogitsProcessor,
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            InfNanRemoveLogitsProcessor,
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            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
            MinLengthLogitsProcessor,
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
        )
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        from .generation_stopping_criteria import (
            MaxLengthCriteria,
            MaxTimeCriteria,
            StoppingCriteria,
            StoppingCriteriaList,
        )
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        from .generation_utils import top_k_top_p_filtering
        from .modeling_utils import Conv1D, PreTrainedModel, apply_chunking_to_forward, prune_layer
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
        from .models.auto import (
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            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
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            MODEL_FOR_AUDIO_XVECTOR_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_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,
            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_VISION_2_SEQ_MAPPING,
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            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
            AutoModel,
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            AutoModelForAudioClassification,
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            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
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            AutoModelForCausalLM,
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            AutoModelForCTC,
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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,
            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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            AutoModelForVision2Seq,
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            AutoModelWithLMHead,
        )
        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
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            BartForCausalLM,
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            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
            BartPretrainedModel,
            PretrainedBartModel,
        )
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        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
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            BeitForSemanticSegmentation,
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            BeitModel,
            BeitPreTrainedModel,
        )
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        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,
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            BertGenerationPreTrainedModel,
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            load_tf_weights_in_bert_generation,
        )
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        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,
        )
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        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
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            BigBirdPegasusPreTrainedModel,
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        )
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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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        )
        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
        )
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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.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
            CLIPVisionModel,
        )
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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,
        )
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        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
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        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
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        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
        )
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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,
            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.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
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            DeiTForMaskedImageModeling,
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            DeiTModel,
            DeiTPreTrainedModel,
        )
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        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
        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.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
        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
            FlaubertWithLMHeadModel,
        )
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        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
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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.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
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        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
            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_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
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            GPTNeoForSequenceClassification,
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            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
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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.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
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            HubertForSequenceClassification,
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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,
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        )
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        from .models.imagegpt import (
            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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        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
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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,
        )
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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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        )
        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,
        )
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        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
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            LukeForMaskedLM,
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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.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
        )
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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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        )
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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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        )
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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,
        )
        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
        from .models.mt5 import MT5EncoderModel, MT5ForConditionalGeneration, MT5Model
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        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
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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.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
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        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
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        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
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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
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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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        )
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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,
            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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        )
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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,
        )
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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.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
            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.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwinForImageClassification,
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            SwinForMaskedImageModeling,
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            SwinModel,
            SwinPreTrainedModel,
        )
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        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
        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.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.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
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        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
            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_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
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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.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.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,
        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
        )
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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.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,
            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )

        # Trainer
        from .trainer import Trainer
        from .trainer_pt_utils import torch_distributed_zero_first
        from .trainer_seq2seq import Seq2SeqTrainer
    else:
        from .utils.dummy_pt_objects import *

    # TensorFlow
    if is_tf_available():

        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
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        from .generation_tf_logits_process import (
            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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        )
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        from .generation_tf_utils import tf_top_k_top_p_filtering
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        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
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        from .modeling_tf_layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
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        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
        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_IMAGE_CLASSIFICATION_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,
            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_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForCausalLM,
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            TFAutoModelForImageClassification,
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            TFAutoModelForMaskedLM,
            TFAutoModelForMultipleChoice,
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
            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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            TFAutoModelWithLMHead,
        )
        from .models.bart import TFBartForConditionalGeneration, TFBartModel, TFBartPretrainedModel
        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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        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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        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
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        from .models.convbert import (
            TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFConvBertForMaskedLM,
            TFConvBertForMultipleChoice,
            TFConvBertForQuestionAnswering,
            TFConvBertForSequenceClassification,
            TFConvBertForTokenClassification,
            TFConvBertLayer,
            TFConvBertModel,
            TFConvBertPreTrainedModel,
        )
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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.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.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,
        )
        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.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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        )
        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.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
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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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            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,
        )
        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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        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
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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.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.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
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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.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
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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,
            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
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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,
            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
        )
        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

    else:
        # 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 *

    if is_flax_available():
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        from .generation_flax_logits_process import (
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            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
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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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        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
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        from .models.auto import (
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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,
            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,
            FlaxAutoModelForTokenClassification,
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            FlaxAutoModelForVision2Seq,
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        )
Daniel Stancl's avatar
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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,
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        )
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        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
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        from .models.bert import (
            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
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        from .models.big_bird import (
            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,
        )
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        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
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        from .models.electra import (
            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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        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
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        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
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        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
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        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
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        from .models.mt5 import FlaxMT5ForConditionalGeneration, FlaxMT5Model
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        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
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        from .models.roberta import (
            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
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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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        from .models.t5 import 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.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
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        from .models.xlm_roberta import (
            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
        )
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    else:
        # 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_flax_objects import *
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else:
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    import sys

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    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."
    )