__init__.py 242 KB
Newer Older
Sylvain Gugger's avatar
Sylvain Gugger committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
# 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.

15
16
17
18
19
20
# 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).

Sylvain Gugger's avatar
Sylvain Gugger committed
21
__version__ = "4.27.0.dev0"
22

23
from typing import TYPE_CHECKING
24

25
26
# Check the dependencies satisfy the minimal versions required.
from . import dependency_versions_check
27
from .utils import (
28
    OptionalDependencyNotAvailable,
Sylvain Gugger's avatar
Sylvain Gugger committed
29
    _LazyModule,
30
    is_flax_available,
31
    is_keras_nlp_available,
32
    is_sentencepiece_available,
33
    is_speech_available,
34
    is_tensorflow_text_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
35
    is_tf_available,
NielsRogge's avatar
NielsRogge committed
36
    is_timm_available,
37
    is_tokenizers_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
38
    is_torch_available,
NielsRogge's avatar
NielsRogge committed
39
    is_torchvision_available,
40
    is_vision_available,
41
    logging,
Aymeric Augustin's avatar
Aymeric Augustin committed
42
)
Julien Chaumond's avatar
Julien Chaumond committed
43

44

45
logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
46

47

48
49
# Base objects, independent of any specific backend
_import_structure = {
50
51
    "benchmark": [],
    "commands": [],
52
    "configuration_utils": ["PretrainedConfig"],
53
54
55
    "convert_graph_to_onnx": [],
    "convert_slow_tokenizers_checkpoints_to_fast": [],
    "convert_tf_hub_seq_to_seq_bert_to_pytorch": [],
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
    "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",
    ],
76
77
78
79
80
81
82
83
84
    "data.data_collator": [
        "DataCollator",
        "DataCollatorForLanguageModeling",
        "DataCollatorForPermutationLanguageModeling",
        "DataCollatorForSeq2Seq",
        "DataCollatorForSOP",
        "DataCollatorForTokenClassification",
        "DataCollatorForWholeWordMask",
        "DataCollatorWithPadding",
85
        "DefaultDataCollator",
86
87
        "default_data_collator",
    ],
88
89
90
91
92
    "data.metrics": [],
    "data.processors": [],
    "debug_utils": [],
    "dependency_versions_check": [],
    "dependency_versions_table": [],
93
    "dynamic_module_utils": [],
94
    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
95
    "feature_extraction_utils": ["BatchFeature", "FeatureExtractionMixin"],
96
    "file_utils": [],
97
    "generation": ["GenerationConfig"],
98
    "hf_argparser": ["HfArgumentParser"],
99
    "image_transforms": [],
100
    "integrations": [
101
        "is_clearml_available",
102
        "is_comet_available",
103
        "is_neptune_available",
104
105
106
        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
107
        "is_sigopt_available",
108
109
110
111
112
113
114
115
116
117
118
119
120
        "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",
    ],
Sylvain Gugger's avatar
Sylvain Gugger committed
121
    "models": [],
122
    # Models
123
    "models.albert": ["ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "AlbertConfig"],
Jongjyh's avatar
Jongjyh committed
124
125
126
127
128
129
130
    "models.altclip": [
        "ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AltCLIPConfig",
        "AltCLIPProcessor",
        "AltCLIPTextConfig",
        "AltCLIPVisionConfig",
    ],
131
132
133
134
    "models.audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ],
135
136
137
    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
138
        "FEATURE_EXTRACTOR_MAPPING",
amyeroberts's avatar
amyeroberts committed
139
        "IMAGE_PROCESSOR_MAPPING",
140
        "MODEL_NAMES_MAPPING",
Sylvain Gugger's avatar
Sylvain Gugger committed
141
        "PROCESSOR_MAPPING",
142
143
        "TOKENIZER_MAPPING",
        "AutoConfig",
144
        "AutoFeatureExtractor",
amyeroberts's avatar
amyeroberts committed
145
        "AutoImageProcessor",
Sylvain Gugger's avatar
Sylvain Gugger committed
146
        "AutoProcessor",
147
148
149
150
        "AutoTokenizer",
    ],
    "models.bart": ["BartConfig", "BartTokenizer"],
    "models.barthez": [],
151
    "models.bartpho": [],
NielsRogge's avatar
NielsRogge committed
152
    "models.beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig"],
153
154
155
156
157
158
159
160
161
162
    "models.bert": [
        "BERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BasicTokenizer",
        "BertConfig",
        "BertTokenizer",
        "WordpieceTokenizer",
    ],
    "models.bert_generation": ["BertGenerationConfig"],
    "models.bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"],
    "models.bertweet": ["BertweetTokenizer"],
163
    "models.big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
Vasudev Gupta's avatar
Vasudev Gupta committed
164
165
166
167
    "models.bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
    ],
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
168
    "models.biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig", "BioGptTokenizer"],
NielsRogge's avatar
NielsRogge committed
169
    "models.bit": ["BIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BitConfig"],
170
171
172
173
174
175
    "models.blenderbot": ["BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BlenderbotConfig", "BlenderbotTokenizer"],
    "models.blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallTokenizer",
    ],
Younes Belkada's avatar
Younes Belkada committed
176
177
178
179
180
181
182
    "models.blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipProcessor",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
Younes Belkada's avatar
Younes Belkada committed
183
    "models.bloom": ["BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP", "BloomConfig"],
184
    "models.bort": [],
185
186
187
188
189
190
191
    "models.bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerProcessor",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
Patrick von Platen's avatar
Patrick von Platen committed
192
    "models.byt5": ["ByT5Tokenizer"],
193
    "models.camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig"],
NielsRogge's avatar
NielsRogge committed
194
    "models.canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig", "CanineTokenizer"],
195
196
197
198
199
200
201
    "models.chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPProcessor",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
Suraj Patil's avatar
Suraj Patil committed
202
203
204
    "models.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
NielsRogge's avatar
NielsRogge committed
205
        "CLIPProcessor",
Suraj Patil's avatar
Suraj Patil committed
206
207
208
209
        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
NielsRogge's avatar
NielsRogge committed
210
211
212
213
214
215
216
    "models.clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegProcessor",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
rooa's avatar
rooa committed
217
    "models.codegen": ["CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodeGenConfig", "CodeGenTokenizer"],
218
    "models.conditional_detr": ["CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConditionalDetrConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
219
    "models.convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig", "ConvBertTokenizer"],
NielsRogge's avatar
NielsRogge committed
220
    "models.convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
221
    "models.cpm": [],
222
    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
NielsRogge's avatar
NielsRogge committed
223
    "models.cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"],
224
225
226
227
228
229
230
    "models.data2vec": [
        "DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Data2VecAudioConfig",
        "Data2VecTextConfig",
        "Data2VecVisionConfig",
    ],
231
    "models.deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaTokenizer"],
232
    "models.deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config"],
233
    "models.decision_transformer": ["DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig"],
NielsRogge's avatar
NielsRogge committed
234
    "models.deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
NielsRogge's avatar
NielsRogge committed
235
    "models.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
NielsRogge's avatar
NielsRogge committed
236
    "models.deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
NielsRogge's avatar
NielsRogge committed
237
    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
238
    "models.dialogpt": [],
239
    "models.dinat": ["DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DinatConfig"],
240
    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
241
    "models.dit": [],
NielsRogge's avatar
NielsRogge committed
242
    "models.donut": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutProcessor", "DonutSwinConfig"],
243
244
245
246
247
248
249
250
    "models.dpr": [
        "DPR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DPRConfig",
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
251
    "models.dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"],
252
    "models.efficientformer": ["EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientFormerConfig"],
253
254
    "models.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
    "models.encoder_decoder": ["EncoderDecoderConfig"],
255
256
257
258
    "models.ernie": [
        "ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ErnieConfig",
    ],
259
    "models.esm": ["ESM_PRETRAINED_CONFIG_ARCHIVE_MAP", "EsmConfig", "EsmTokenizer"],
260
    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
261
262
263
264
265
266
267
268
    "models.flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
269
    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"],
270
271
    "models.fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig", "FSMTTokenizer"],
    "models.funnel": ["FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP", "FunnelConfig", "FunnelTokenizer"],
272
    "models.git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitProcessor", "GitVisionConfig"],
NielsRogge's avatar
NielsRogge committed
273
    "models.glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"],
274
    "models.gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2Tokenizer"],
Suraj Patil's avatar
Suraj Patil committed
275
    "models.gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
276
    "models.gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"],
277
    "models.gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXJapaneseConfig"],
278
    "models.gpt_sw3": [],
Stella Biderman's avatar
Stella Biderman committed
279
    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
280
    "models.graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"],
281
282
283
284
285
286
    "models.groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
287
    "models.herbert": ["HerbertTokenizer"],
Patrick von Platen's avatar
Patrick von Platen committed
288
    "models.hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
Sehoon Kim's avatar
Sehoon Kim committed
289
    "models.ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig"],
NielsRogge's avatar
NielsRogge committed
290
    "models.imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
291
292
293
294
295
296
297
    "models.jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxTokenizer",
        "JukeboxVQVAEConfig",
    ],
298
    "models.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
299
300
301
302
    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
amyeroberts's avatar
amyeroberts committed
303
        "LayoutLMv2ImageProcessor",
304
305
306
        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
307
308
309
310
    "models.layoutlmv3": [
        "LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv3Config",
        "LayoutLMv3FeatureExtractor",
amyeroberts's avatar
amyeroberts committed
311
        "LayoutLMv3ImageProcessor",
NielsRogge's avatar
NielsRogge committed
312
313
314
        "LayoutLMv3Processor",
        "LayoutLMv3Tokenizer",
    ],
315
    "models.layoutxlm": ["LayoutXLMProcessor"],
316
    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
317
    "models.levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig"],
NielsRogge's avatar
NielsRogge committed
318
    "models.lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
319
    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
Daniel Stancl's avatar
Daniel Stancl committed
320
    "models.longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config"],
NielsRogge's avatar
NielsRogge committed
321
    "models.luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig", "LukeTokenizer"],
322
    "models.lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig", "LxmertTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
323
    "models.m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config"],
324
    "models.marian": ["MarianConfig"],
NielsRogge's avatar
NielsRogge committed
325
326
327
328
329
330
331
    "models.markuplm": [
        "MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MarkupLMConfig",
        "MarkupLMFeatureExtractor",
        "MarkupLMProcessor",
        "MarkupLMTokenizer",
    ],
Alara Dirik's avatar
Alara Dirik committed
332
333
334
335
    "models.mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
336
    "models.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig", "MaskFormerSwinConfig"],
337
    "models.mbart": ["MBartConfig"],
338
    "models.mbart50": [],
Chan Woo Kim's avatar
Chan Woo Kim committed
339
    "models.mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig", "MCTCTProcessor"],
340
    "models.megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
341
    "models.megatron_gpt2": [],
Ryokan RI's avatar
Ryokan RI committed
342
    "models.mluke": [],
343
344
    "models.mmbt": ["MMBTConfig"],
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
345
    "models.mobilenet_v1": ["MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV1Config"],
346
    "models.mobilenet_v2": ["MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV2Config"],
347
    "models.mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig"],
348
349
    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
    "models.mt5": ["MT5Config"],
StevenTang1998's avatar
StevenTang1998 committed
350
    "models.mvp": ["MvpConfig", "MvpTokenizer"],
351
    "models.nat": ["NAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "NatConfig"],
352
    "models.nezha": ["NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP", "NezhaConfig"],
Lysandre Debut's avatar
Lysandre Debut committed
353
    "models.nllb": [],
novice's avatar
novice committed
354
355
356
357
    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
Jitesh Jain's avatar
Jitesh Jain committed
358
    "models.oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig", "OneFormerProcessor"],
359
    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
Younes Belkada's avatar
Younes Belkada committed
360
    "models.opt": ["OPTConfig"],
361
362
363
364
365
366
367
    "models.owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTProcessor",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
368
    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
Jason Phang's avatar
Jason Phang committed
369
    "models.pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
NielsRogge's avatar
NielsRogge committed
370
    "models.perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "PerceiverTokenizer"],
371
    "models.phobert": ["PhobertTokenizer"],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
372
    "models.plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
Tanay Mehta's avatar
Tanay Mehta committed
373
    "models.poolformer": ["POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PoolFormerConfig"],
374
    "models.prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig", "ProphetNetTokenizer"],
375
    "models.qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
376
    "models.rag": ["RagConfig", "RagRetriever", "RagTokenizer"],
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
377
    "models.realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig", "RealmTokenizer"],
378
    "models.reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"],
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
379
    "models.regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"],
380
    "models.rembert": ["REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RemBertConfig"],
381
    "models.resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig"],
382
383
    "models.retribert": ["RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RetriBertConfig", "RetriBertTokenizer"],
    "models.roberta": ["ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaConfig", "RobertaTokenizer"],
384
    "models.roberta_prelayernorm": ["ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaPreLayerNormConfig"],
Weiwe Shi's avatar
Weiwe Shi committed
385
    "models.roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig", "RoCBertTokenizer"],
386
    "models.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
NielsRogge's avatar
NielsRogge committed
387
    "models.segformer": ["SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SegformerConfig"],
388
389
    "models.sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"],
    "models.sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"],
390
    "models.speech_encoder_decoder": ["SpeechEncoderDecoderConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
391
392
393
    "models.speech_to_text": [
        "SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2TextConfig",
394
        "Speech2TextProcessor",
Sylvain Gugger's avatar
Sylvain Gugger committed
395
    ],
396
397
398
399
400
401
    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
402
403
404
405
406
    "models.speecht5": [
        "SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP",
        "SpeechT5Config",
        "SpeechT5HifiGanConfig",
407
        "SpeechT5Processor",
408
    ],
Ori Ram's avatar
Ori Ram committed
409
    "models.splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig", "SplinterTokenizer"],
410
    "models.squeezebert": ["SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "SqueezeBertConfig", "SqueezeBertTokenizer"],
novice's avatar
novice committed
411
    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
NielsRogge's avatar
NielsRogge committed
412
    "models.swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
413
    "models.swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
414
    "models.switch_transformers": ["SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwitchTransformersConfig"],
415
    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
416
    "models.table_transformer": ["TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TableTransformerConfig"],
417
    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
NielsRogge's avatar
NielsRogge committed
418
    "models.tapex": ["TapexTokenizer"],
419
420
421
422
    "models.time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
423
    "models.timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
Carl's avatar
Carl committed
424
425
426
427
    "models.trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
428
429
430
431
432
433
    "models.transfo_xl": [
        "TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TransfoXLConfig",
        "TransfoXLCorpus",
        "TransfoXLTokenizer",
    ],
434
435
436
437
438
    "models.trocr": [
        "TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrOCRConfig",
        "TrOCRProcessor",
    ],
439
440
441
442
443
444
445
446
    "models.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
NielsRogge's avatar
NielsRogge committed
447
    "models.upernet": ["UperNetConfig"],
448
    "models.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
NielsRogge's avatar
NielsRogge committed
449
    "models.videomae": ["VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "VideoMAEConfig"],
amyeroberts's avatar
amyeroberts committed
450
451
452
453
454
455
456
    "models.vilt": [
        "VILT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ViltConfig",
        "ViltFeatureExtractor",
        "ViltImageProcessor",
        "ViltProcessor",
    ],
457
    "models.vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
Suraj Patil's avatar
Suraj Patil committed
458
    "models.vision_text_dual_encoder": ["VisionTextDualEncoderConfig", "VisionTextDualEncoderProcessor"],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
459
    "models.visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"],
460
    "models.vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig"],
NielsRogge's avatar
NielsRogge committed
461
    "models.vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"],
NielsRogge's avatar
NielsRogge committed
462
    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
463
    "models.vit_msn": ["VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMSNConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
464
465
466
467
468
469
470
471
    "models.wav2vec2": [
        "WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2Config",
        "Wav2Vec2CTCTokenizer",
        "Wav2Vec2FeatureExtractor",
        "Wav2Vec2Processor",
        "Wav2Vec2Tokenizer",
    ],
472
473
474
475
    "models.wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
476
    "models.wav2vec2_phoneme": ["Wav2Vec2PhonemeCTCTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
477
    "models.wav2vec2_with_lm": ["Wav2Vec2ProcessorWithLM"],
Patrick von Platen's avatar
Patrick von Platen committed
478
479
480
481
    "models.wavlm": [
        "WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WavLMConfig",
    ],
482
483
484
485
486
487
488
    "models.whisper": [
        "WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WhisperConfig",
        "WhisperFeatureExtractor",
        "WhisperProcessor",
        "WhisperTokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
489
490
491
492
493
494
495
    "models.x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPProcessor",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
Suraj Patil's avatar
Suraj Patil committed
496
    "models.xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
497
498
499
    "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"],
500
    "models.xlm_roberta_xl": ["XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaXLConfig"],
501
    "models.xlnet": ["XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLNetConfig"],
NielsRogge's avatar
NielsRogge committed
502
    "models.yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig"],
novice's avatar
novice committed
503
    "models.yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
504
    "onnx": [],
505
    "pipelines": [
506
        "AudioClassificationPipeline",
507
        "AutomaticSpeechRecognitionPipeline",
508
509
510
        "Conversation",
        "ConversationalPipeline",
        "CsvPipelineDataFormat",
511
        "DepthEstimationPipeline",
512
        "DocumentQuestionAnsweringPipeline",
513
514
        "FeatureExtractionPipeline",
        "FillMaskPipeline",
515
        "ImageClassificationPipeline",
516
        "ImageSegmentationPipeline",
517
        "ImageToTextPipeline",
518
519
        "JsonPipelineDataFormat",
        "NerPipeline",
520
        "ObjectDetectionPipeline",
521
522
523
524
525
526
527
528
529
530
531
        "PipedPipelineDataFormat",
        "Pipeline",
        "PipelineDataFormat",
        "QuestionAnsweringPipeline",
        "SummarizationPipeline",
        "TableQuestionAnsweringPipeline",
        "Text2TextGenerationPipeline",
        "TextClassificationPipeline",
        "TextGenerationPipeline",
        "TokenClassificationPipeline",
        "TranslationPipeline",
532
        "VideoClassificationPipeline",
533
        "VisualQuestionAnsweringPipeline",
534
        "ZeroShotClassificationPipeline",
535
        "ZeroShotImageClassificationPipeline",
536
        "ZeroShotObjectDetectionPipeline",
537
538
        "pipeline",
    ],
539
    "processing_utils": ["ProcessorMixin"],
540
    "testing_utils": [],
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
    "tokenization_utils": ["PreTrainedTokenizer"],
    "tokenization_utils_base": [
        "AddedToken",
        "BatchEncoding",
        "CharSpan",
        "PreTrainedTokenizerBase",
        "SpecialTokensMixin",
        "TokenSpan",
    ],
    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
559
    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "enable_full_determinism", "set_seed"],
560
561
562
    "training_args": ["TrainingArguments"],
    "training_args_seq2seq": ["Seq2SeqTrainingArguments"],
    "training_args_tf": ["TFTrainingArguments"],
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
    "utils": [
        "CONFIG_NAME",
        "MODEL_CARD_NAME",
        "PYTORCH_PRETRAINED_BERT_CACHE",
        "PYTORCH_TRANSFORMERS_CACHE",
        "SPIECE_UNDERLINE",
        "TF2_WEIGHTS_NAME",
        "TF_WEIGHTS_NAME",
        "TRANSFORMERS_CACHE",
        "WEIGHTS_NAME",
        "TensorType",
        "add_end_docstrings",
        "add_start_docstrings",
        "is_apex_available",
        "is_datasets_available",
578
        "is_decord_available",
579
580
        "is_faiss_available",
        "is_flax_available",
Matt's avatar
Matt committed
581
        "is_keras_nlp_available",
582
583
584
585
        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
586
        "is_safetensors_available",
587
588
589
590
        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
591
        "is_tensorflow_text_available",
592
593
594
595
        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
596
        "is_torch_neuroncore_available",
597
        "is_torch_tpu_available",
NielsRogge's avatar
NielsRogge committed
598
        "is_torchvision_available",
599
600
601
        "is_vision_available",
        "logging",
    ],
602
    "utils.bitsandbytes": [],
603
}
604

605
# sentencepiece-backed objects
606
607
608
609
610
611
612
613
614
615
try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_sentencepiece_objects

    _import_structure["utils.dummy_sentencepiece_objects"] = [
        name for name in dir(dummy_sentencepiece_objects) if not name.startswith("_")
    ]
else:
616
617
    _import_structure["models.albert"].append("AlbertTokenizer")
    _import_structure["models.barthez"].append("BarthezTokenizer")
618
    _import_structure["models.bartpho"].append("BartphoTokenizer")
619
    _import_structure["models.bert_generation"].append("BertGenerationTokenizer")
620
    _import_structure["models.big_bird"].append("BigBirdTokenizer")
621
    _import_structure["models.camembert"].append("CamembertTokenizer")
622
    _import_structure["models.cpm"].append("CpmTokenizer")
623
    _import_structure["models.deberta_v2"].append("DebertaV2Tokenizer")
624
    _import_structure["models.fnet"].append("FNetTokenizer")
625
    _import_structure["models.gpt_sw3"].append("GPTSw3Tokenizer")
626
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
627
    _import_structure["models.m2m_100"].append("M2M100Tokenizer")
628
629
    _import_structure["models.marian"].append("MarianTokenizer")
    _import_structure["models.mbart"].append("MBartTokenizer")
630
    _import_structure["models.mbart50"].append("MBart50Tokenizer")
Ryokan RI's avatar
Ryokan RI committed
631
    _import_structure["models.mluke"].append("MLukeTokenizer")
632
    _import_structure["models.mt5"].append("MT5Tokenizer")
633
    _import_structure["models.nllb"].append("NllbTokenizer")
634
    _import_structure["models.pegasus"].append("PegasusTokenizer")
Gunjan Chhablani's avatar
Gunjan Chhablani committed
635
    _import_structure["models.plbart"].append("PLBartTokenizer")
636
    _import_structure["models.reformer"].append("ReformerTokenizer")
637
    _import_structure["models.rembert"].append("RemBertTokenizer")
Suraj Patil's avatar
Suraj Patil committed
638
    _import_structure["models.speech_to_text"].append("Speech2TextTokenizer")
639
    _import_structure["models.speecht5"].append("SpeechT5Tokenizer")
640
    _import_structure["models.t5"].append("T5Tokenizer")
Suraj Patil's avatar
Suraj Patil committed
641
    _import_structure["models.xglm"].append("XGLMTokenizer")
642
643
644
645
    _import_structure["models.xlm_prophetnet"].append("XLMProphetNetTokenizer")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizer")
    _import_structure["models.xlnet"].append("XLNetTokenizer")

646
# tokenizers-backed objects
647
648
649
650
651
652
653
654
655
656
657
try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tokenizers_objects

    _import_structure["utils.dummy_tokenizers_objects"] = [
        name for name in dir(dummy_tokenizers_objects) if not name.startswith("_")
    ]
else:
    # Fast tokenizers structure
658
659
660
661
    _import_structure["models.albert"].append("AlbertTokenizerFast")
    _import_structure["models.bart"].append("BartTokenizerFast")
    _import_structure["models.barthez"].append("BarthezTokenizerFast")
    _import_structure["models.bert"].append("BertTokenizerFast")
662
    _import_structure["models.big_bird"].append("BigBirdTokenizerFast")
663
    _import_structure["models.blenderbot"].append("BlenderbotTokenizerFast")
664
    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
Younes Belkada's avatar
Younes Belkada committed
665
    _import_structure["models.bloom"].append("BloomTokenizerFast")
666
    _import_structure["models.camembert"].append("CamembertTokenizerFast")
667
    _import_structure["models.clip"].append("CLIPTokenizerFast")
rooa's avatar
rooa committed
668
    _import_structure["models.codegen"].append("CodeGenTokenizerFast")
669
    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
670
    _import_structure["models.cpm"].append("CpmTokenizerFast")
671
    _import_structure["models.deberta"].append("DebertaTokenizerFast")
672
    _import_structure["models.deberta_v2"].append("DebertaV2TokenizerFast")
673
674
675
676
677
    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
678
    _import_structure["models.fnet"].append("FNetTokenizerFast")
679
680
    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
681
    _import_structure["models.gpt_neox"].append("GPTNeoXTokenizerFast")
682
    _import_structure["models.gpt_neox_japanese"].append("GPTNeoXJapaneseTokenizer")
683
684
    _import_structure["models.herbert"].append("HerbertTokenizerFast")
    _import_structure["models.layoutlm"].append("LayoutLMTokenizerFast")
685
    _import_structure["models.layoutlmv2"].append("LayoutLMv2TokenizerFast")
NielsRogge's avatar
NielsRogge committed
686
    _import_structure["models.layoutlmv3"].append("LayoutLMv3TokenizerFast")
687
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizerFast")
688
689
690
    _import_structure["models.led"].append("LEDTokenizerFast")
    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
NielsRogge's avatar
NielsRogge committed
691
    _import_structure["models.markuplm"].append("MarkupLMTokenizerFast")
692
    _import_structure["models.mbart"].append("MBartTokenizerFast")
693
    _import_structure["models.mbart50"].append("MBart50TokenizerFast")
694
695
696
    _import_structure["models.mobilebert"].append("MobileBertTokenizerFast")
    _import_structure["models.mpnet"].append("MPNetTokenizerFast")
    _import_structure["models.mt5"].append("MT5TokenizerFast")
StevenTang1998's avatar
StevenTang1998 committed
697
    _import_structure["models.mvp"].append("MvpTokenizerFast")
Lysandre Debut's avatar
Lysandre Debut committed
698
    _import_structure["models.nllb"].append("NllbTokenizerFast")
699
700
    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
701
    _import_structure["models.realm"].append("RealmTokenizerFast")
702
    _import_structure["models.reformer"].append("ReformerTokenizerFast")
703
    _import_structure["models.rembert"].append("RemBertTokenizerFast")
704
705
    _import_structure["models.retribert"].append("RetriBertTokenizerFast")
    _import_structure["models.roberta"].append("RobertaTokenizerFast")
706
    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
Ori Ram's avatar
Ori Ram committed
707
    _import_structure["models.splinter"].append("SplinterTokenizerFast")
708
709
    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
710
    _import_structure["models.xglm"].append("XGLMTokenizerFast")
711
712
713
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
714

Aymeric Augustin's avatar
Aymeric Augustin committed
715

716
717
718
719
try:
    if not (is_sentencepiece_available() and is_tokenizers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
720
721
722
723
724
    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("_")
    ]
725
726
else:
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
727

728
# Speech-specific objects
729
730
731
732
try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
733
734
735
736
737
    from .utils import dummy_speech_objects

    _import_structure["utils.dummy_speech_objects"] = [
        name for name in dir(dummy_speech_objects) if not name.startswith("_")
    ]
738
else:
739
    _import_structure["models.audio_spectrogram_transformer"].append("ASTFeatureExtractor")
Chan Woo Kim's avatar
Chan Woo Kim committed
740
    _import_structure["models.mctct"].append("MCTCTFeatureExtractor")
741
    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")
742
    _import_structure["models.speecht5"].append("SpeechT5FeatureExtractor")
743

744
745
746
747
748
749
750
751
752
753
754
755
756
# Tensorflow-text-specific objects
try:
    if not is_tensorflow_text_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tensorflow_text_objects

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

757
758
759
760
761
762
763
764
765
766
767
768
769
# keras-nlp-specific objects
try:
    if not is_keras_nlp_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_keras_nlp_objects

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

770
# Vision-specific objects
771
772
773
774
775
776
777
778
779
780
try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_vision_objects

    _import_structure["utils.dummy_vision_objects"] = [
        name for name in dir(dummy_vision_objects) if not name.startswith("_")
    ]
else:
amyeroberts's avatar
amyeroberts committed
781
    _import_structure["image_processing_utils"] = ["ImageProcessingMixin"]
782
    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
amyeroberts's avatar
amyeroberts committed
783
    _import_structure["models.beit"].extend(["BeitFeatureExtractor", "BeitImageProcessor"])
NielsRogge's avatar
NielsRogge committed
784
    _import_structure["models.bit"].extend(["BitImageProcessor"])
Younes Belkada's avatar
Younes Belkada committed
785
    _import_structure["models.blip"].extend(["BlipImageProcessor"])
786
    _import_structure["models.bridgetower"].append("BridgeTowerImageProcessor")
787
    _import_structure["models.chinese_clip"].extend(["ChineseCLIPFeatureExtractor", "ChineseCLIPImageProcessor"])
amyeroberts's avatar
amyeroberts committed
788
    _import_structure["models.clip"].extend(["CLIPFeatureExtractor", "CLIPImageProcessor"])
789
790
791
    _import_structure["models.conditional_detr"].extend(
        ["ConditionalDetrFeatureExtractor", "ConditionalDetrImageProcessor"]
    )
amyeroberts's avatar
amyeroberts committed
792
    _import_structure["models.convnext"].extend(["ConvNextFeatureExtractor", "ConvNextImageProcessor"])
793
794
795
    _import_structure["models.deformable_detr"].extend(
        ["DeformableDetrFeatureExtractor", "DeformableDetrImageProcessor"]
    )
amyeroberts's avatar
amyeroberts committed
796
    _import_structure["models.deit"].extend(["DeiTFeatureExtractor", "DeiTImageProcessor"])
NielsRogge's avatar
NielsRogge committed
797
    _import_structure["models.deta"].append("DetaImageProcessor")
798
    _import_structure["models.detr"].extend(["DetrFeatureExtractor", "DetrImageProcessor"])
799
    _import_structure["models.donut"].extend(["DonutFeatureExtractor", "DonutImageProcessor"])
amyeroberts's avatar
amyeroberts committed
800
    _import_structure["models.dpt"].extend(["DPTFeatureExtractor", "DPTImageProcessor"])
801
    _import_structure["models.efficientformer"].append("EfficientFormerImageProcessor")
802
    _import_structure["models.flava"].extend(["FlavaFeatureExtractor", "FlavaImageProcessor", "FlavaProcessor"])
amyeroberts's avatar
amyeroberts committed
803
804
805
806
807
    _import_structure["models.glpn"].extend(["GLPNFeatureExtractor", "GLPNImageProcessor"])
    _import_structure["models.imagegpt"].extend(["ImageGPTFeatureExtractor", "ImageGPTImageProcessor"])
    _import_structure["models.layoutlmv2"].extend(["LayoutLMv2FeatureExtractor", "LayoutLMv2ImageProcessor"])
    _import_structure["models.layoutlmv3"].extend(["LayoutLMv3FeatureExtractor", "LayoutLMv3ImageProcessor"])
    _import_structure["models.levit"].extend(["LevitFeatureExtractor", "LevitImageProcessor"])
808
    _import_structure["models.mask2former"].append("Mask2FormerImageProcessor")
809
    _import_structure["models.maskformer"].extend(["MaskFormerFeatureExtractor", "MaskFormerImageProcessor"])
810
    _import_structure["models.mobilenet_v1"].extend(["MobileNetV1FeatureExtractor", "MobileNetV1ImageProcessor"])
811
    _import_structure["models.mobilenet_v2"].extend(["MobileNetV2FeatureExtractor", "MobileNetV2ImageProcessor"])
amyeroberts's avatar
amyeroberts committed
812
    _import_structure["models.mobilevit"].extend(["MobileViTFeatureExtractor", "MobileViTImageProcessor"])
Jitesh Jain's avatar
Jitesh Jain committed
813
    _import_structure["models.oneformer"].extend(["OneFormerImageProcessor"])
814
    _import_structure["models.owlvit"].extend(["OwlViTFeatureExtractor", "OwlViTImageProcessor"])
amyeroberts's avatar
amyeroberts committed
815
816
817
    _import_structure["models.perceiver"].extend(["PerceiverFeatureExtractor", "PerceiverImageProcessor"])
    _import_structure["models.poolformer"].extend(["PoolFormerFeatureExtractor", "PoolFormerImageProcessor"])
    _import_structure["models.segformer"].extend(["SegformerFeatureExtractor", "SegformerImageProcessor"])
NielsRogge's avatar
NielsRogge committed
818
    _import_structure["models.swin2sr"].append("Swin2SRImageProcessor")
amyeroberts's avatar
amyeroberts committed
819
820
821
    _import_structure["models.videomae"].extend(["VideoMAEFeatureExtractor", "VideoMAEImageProcessor"])
    _import_structure["models.vilt"].extend(["ViltFeatureExtractor", "ViltImageProcessor", "ViltProcessor"])
    _import_structure["models.vit"].extend(["ViTFeatureExtractor", "ViTImageProcessor"])
NielsRogge's avatar
NielsRogge committed
822
    _import_structure["models.vit_hybrid"].extend(["ViTHybridImageProcessor"])
823
    _import_structure["models.yolos"].extend(["YolosFeatureExtractor", "YolosImageProcessor"])
824

NielsRogge's avatar
NielsRogge committed
825
# Timm-backed objects
826
827
828
829
try:
    if not (is_timm_available() and is_vision_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
NielsRogge's avatar
NielsRogge committed
830
    from .utils import dummy_timm_and_vision_objects
831

NielsRogge's avatar
NielsRogge committed
832
833
    _import_structure["utils.dummy_timm_and_vision_objects"] = [
        name for name in dir(dummy_timm_and_vision_objects) if not name.startswith("_")
834
835
    ]
else:
NielsRogge's avatar
NielsRogge committed
836
837
838
839
840
841
842
843
    _import_structure["models.deformable_detr"].extend(
        [
            "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeformableDetrForObjectDetection",
            "DeformableDetrModel",
            "DeformableDetrPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
844
845
846
847
848
849
    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
850
            "DetrPreTrainedModel",
NielsRogge's avatar
NielsRogge committed
851
852
        ]
    )
853
854
855
856
857
858
859
860
    _import_structure["models.table_transformer"].extend(
        [
            "TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TableTransformerForObjectDetection",
            "TableTransformerModel",
            "TableTransformerPreTrainedModel",
        ]
    )
861
862
863
864
865
866
867
868
869
    _import_structure["models.conditional_detr"].extend(
        [
            "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConditionalDetrForObjectDetection",
            "ConditionalDetrForSegmentation",
            "ConditionalDetrModel",
            "ConditionalDetrPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
870

871

872
# PyTorch-backed objects
873
874
875
876
877
878
879
880
try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_pt_objects

    _import_structure["utils.dummy_pt_objects"] = [name for name in dir(dummy_pt_objects) if not name.startswith("_")]
else:
881
    _import_structure["activations"] = []
882
883
884
885
886
887
888
889
890
891
892
893
894
    _import_structure["benchmark.benchmark"] = ["PyTorchBenchmark"]
    _import_structure["benchmark.benchmark_args"] = ["PyTorchBenchmarkArguments"]
    _import_structure["data.datasets"] = [
        "GlueDataset",
        "GlueDataTrainingArguments",
        "LineByLineTextDataset",
        "LineByLineWithRefDataset",
        "LineByLineWithSOPTextDataset",
        "SquadDataset",
        "SquadDataTrainingArguments",
        "TextDataset",
        "TextDatasetForNextSentencePrediction",
    ]
895
    _import_structure["deepspeed"] = []
896
897
898
899
900
    _import_structure["generation"].extend(
        [
            "BeamScorer",
            "BeamSearchScorer",
            "ConstrainedBeamSearchScorer",
901
902
903
            "Constraint",
            "ConstraintListState",
            "DisjunctiveConstraint",
904
905
            "ForcedBOSTokenLogitsProcessor",
            "ForcedEOSTokenLogitsProcessor",
906
            "GenerationMixin",
907
908
909
910
911
            "HammingDiversityLogitsProcessor",
            "InfNanRemoveLogitsProcessor",
            "LogitsProcessor",
            "LogitsProcessorList",
            "LogitsWarper",
912
913
            "MaxLengthCriteria",
            "MaxTimeCriteria",
914
            "MinLengthLogitsProcessor",
915
            "MinNewTokensLengthLogitsProcessor",
916
917
            "NoBadWordsLogitsProcessor",
            "NoRepeatNGramLogitsProcessor",
918
            "PhrasalConstraint",
919
920
            "PrefixConstrainedLogitsProcessor",
            "RepetitionPenaltyLogitsProcessor",
921
922
            "StoppingCriteria",
            "StoppingCriteriaList",
923
924
925
926
927
928
929
            "TemperatureLogitsWarper",
            "TopKLogitsWarper",
            "TopPLogitsWarper",
            "TypicalLogitsWarper",
            "top_k_top_p_filtering",
        ]
    )
930
    _import_structure["generation_utils"] = []
931
    _import_structure["modeling_outputs"] = []
932
    _import_structure["modeling_utils"] = ["PreTrainedModel"]
Suraj Patil's avatar
Suraj Patil committed
933

NielsRogge's avatar
NielsRogge committed
934
    # PyTorch models structure
935
936
937
938
939
940
941
942
943
944
945
946
947
948
    _import_structure["models.albert"].extend(
        [
            "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlbertForMaskedLM",
            "AlbertForMultipleChoice",
            "AlbertForPreTraining",
            "AlbertForQuestionAnswering",
            "AlbertForSequenceClassification",
            "AlbertForTokenClassification",
            "AlbertModel",
            "AlbertPreTrainedModel",
            "load_tf_weights_in_albert",
        ]
    )
Jongjyh's avatar
Jongjyh committed
949
950
951
952
953
954
955
956
957
    _import_structure["models.altclip"].extend(
        [
            "ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AltCLIPModel",
            "AltCLIPPreTrainedModel",
            "AltCLIPTextModel",
            "AltCLIPVisionModel",
        ]
    )
958
959
960
    _import_structure["models.audio_spectrogram_transformer"].extend(
        [
            "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
961
            "ASTForAudioClassification",
962
963
964
965
            "ASTModel",
            "ASTPreTrainedModel",
        ]
    )
966
967
    _import_structure["models.auto"].extend(
        [
968
            "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
969
            "MODEL_FOR_AUDIO_XVECTOR_MAPPING",
970
            "MODEL_FOR_BACKBONE_MAPPING",
NielsRogge's avatar
NielsRogge committed
971
            "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING",
972
            "MODEL_FOR_CAUSAL_LM_MAPPING",
973
            "MODEL_FOR_CTC_MAPPING",
974
            "MODEL_FOR_DEPTH_ESTIMATION_MAPPING",
975
            "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
976
            "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
977
            "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
978
            "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
979
            "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
980
981
982
            "MODEL_FOR_MASKED_LM_MAPPING",
            "MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
NielsRogge's avatar
NielsRogge committed
983
            "MODEL_FOR_OBJECT_DETECTION_MAPPING",
984
985
            "MODEL_FOR_PRETRAINING_MAPPING",
            "MODEL_FOR_QUESTION_ANSWERING_MAPPING",
986
            "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
987
988
            "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
989
            "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
990
991
            "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
            "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
992
            "MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
993
            "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING",
994
            "MODEL_FOR_VISION_2_SEQ_MAPPING",
995
            "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING",
996
            "MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING",
997
998
            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
999
            "AutoBackbone",
1000
            "AutoModel",
1001
            "AutoModelForAudioClassification",
1002
1003
            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
1004
            "AutoModelForCausalLM",
1005
            "AutoModelForCTC",
1006
            "AutoModelForDepthEstimation",
1007
            "AutoModelForDocumentQuestionAnswering",
1008
            "AutoModelForImageClassification",
1009
            "AutoModelForImageSegmentation",
1010
            "AutoModelForInstanceSegmentation",
NielsRogge's avatar
NielsRogge committed
1011
            "AutoModelForMaskedImageModeling",
1012
1013
1014
            "AutoModelForMaskedLM",
            "AutoModelForMultipleChoice",
            "AutoModelForNextSentencePrediction",
1015
            "AutoModelForObjectDetection",
1016
1017
            "AutoModelForPreTraining",
            "AutoModelForQuestionAnswering",
1018
            "AutoModelForSemanticSegmentation",
1019
1020
            "AutoModelForSeq2SeqLM",
            "AutoModelForSequenceClassification",
1021
            "AutoModelForSpeechSeq2Seq",
1022
1023
            "AutoModelForTableQuestionAnswering",
            "AutoModelForTokenClassification",
1024
            "AutoModelForUniversalSegmentation",
NielsRogge's avatar
NielsRogge committed
1025
            "AutoModelForVideoClassification",
1026
            "AutoModelForVision2Seq",
1027
            "AutoModelForVisualQuestionAnswering",
1028
            "AutoModelForZeroShotObjectDetection",
1029
            "AutoModelWithLMHead",
1030
1031
1032
1033
1034
        ]
    )
    _import_structure["models.bart"].extend(
        [
            "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
1035
            "BartForCausalLM",
1036
1037
1038
1039
1040
1041
1042
1043
            "BartForConditionalGeneration",
            "BartForQuestionAnswering",
            "BartForSequenceClassification",
            "BartModel",
            "BartPretrainedModel",
            "PretrainedBartModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1044
1045
1046
1047
1048
    _import_structure["models.beit"].extend(
        [
            "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BeitForImageClassification",
            "BeitForMaskedImageModeling",
1049
            "BeitForSemanticSegmentation",
NielsRogge's avatar
NielsRogge committed
1050
1051
1052
1053
            "BeitModel",
            "BeitPreTrainedModel",
        ]
    )
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
    _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",
1075
            "BertGenerationPreTrainedModel",
1076
1077
1078
            "load_tf_weights_in_bert_generation",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
    _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",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
1095
1096
1097
1098
1099
1100
1101
1102
    _import_structure["models.bigbird_pegasus"].extend(
        [
            "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdPegasusForCausalLM",
            "BigBirdPegasusForConditionalGeneration",
            "BigBirdPegasusForQuestionAnswering",
            "BigBirdPegasusForSequenceClassification",
            "BigBirdPegasusModel",
1103
            "BigBirdPegasusPreTrainedModel",
Vasudev Gupta's avatar
Vasudev Gupta committed
1104
1105
        ]
    )
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
1106
1107
1108
1109
1110
1111
1112
1113
    _import_structure["models.biogpt"].extend(
        [
            "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BioGptForCausalLM",
            "BioGptModel",
            "BioGptPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1114
1115
1116
1117
1118
1119
1120
1121
1122
    _import_structure["models.bit"].extend(
        [
            "BIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BitBackbone",
            "BitForImageClassification",
            "BitModel",
            "BitPreTrainedModel",
        ]
    )
1123
1124
1125
    _import_structure["models.blenderbot"].extend(
        [
            "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1126
            "BlenderbotForCausalLM",
1127
1128
            "BlenderbotForConditionalGeneration",
            "BlenderbotModel",
1129
            "BlenderbotPreTrainedModel",
1130
1131
1132
1133
1134
        ]
    )
    _import_structure["models.blenderbot_small"].extend(
        [
            "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1135
            "BlenderbotSmallForCausalLM",
1136
1137
            "BlenderbotSmallForConditionalGeneration",
            "BlenderbotSmallModel",
1138
            "BlenderbotSmallPreTrainedModel",
1139
1140
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
    _import_structure["models.blip"].extend(
        [
            "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BlipForConditionalGeneration",
            "BlipForImageTextRetrieval",
            "BlipForQuestionAnswering",
            "BlipModel",
            "BlipPreTrainedModel",
            "BlipTextModel",
            "BlipVisionModel",
        ]
    )
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
    _import_structure["models.bloom"].extend(
        [
            "BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BloomForCausalLM",
            "BloomForQuestionAnswering",
            "BloomForSequenceClassification",
            "BloomForTokenClassification",
            "BloomModel",
            "BloomPreTrainedModel",
        ]
    )
1164
1165
1166
1167
1168
1169
1170
1171
1172
    _import_structure["models.bridgetower"].extend(
        [
            "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BridgeTowerForImageAndTextRetrieval",
            "BridgeTowerForMaskedLM",
            "BridgeTowerModel",
            "BridgeTowerPreTrainedModel",
        ]
    )
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
1183
            "CamembertPreTrainedModel",
1184
1185
        ]
    )
NielsRogge's avatar
NielsRogge committed
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
    _import_structure["models.canine"].extend(
        [
            "CANINE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CanineForMultipleChoice",
            "CanineForQuestionAnswering",
            "CanineForSequenceClassification",
            "CanineForTokenClassification",
            "CanineLayer",
            "CanineModel",
            "CaninePreTrainedModel",
            "load_tf_weights_in_canine",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1199
1200
1201
1202
1203
1204
1205
1206
1207
    _import_structure["models.chinese_clip"].extend(
        [
            "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ChineseCLIPModel",
            "ChineseCLIPPreTrainedModel",
            "ChineseCLIPTextModel",
            "ChineseCLIPVisionModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1208
1209
1210
1211
1212
1213
    _import_structure["models.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
1214
            "CLIPTextModelWithProjection",
Suraj Patil's avatar
Suraj Patil committed
1215
            "CLIPVisionModel",
1216
            "CLIPVisionModelWithProjection",
Suraj Patil's avatar
Suraj Patil committed
1217
1218
        ]
    )
NielsRogge's avatar
NielsRogge committed
1219
1220
1221
    _import_structure["models.clipseg"].extend(
        [
            "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
1222
            "CLIPSegForImageSegmentation",
NielsRogge's avatar
NielsRogge committed
1223
1224
1225
1226
1227
1228
            "CLIPSegModel",
            "CLIPSegPreTrainedModel",
            "CLIPSegTextModel",
            "CLIPSegVisionModel",
        ]
    )
1229
    _import_structure["models.codegen"].extend(
NielsRogge's avatar
NielsRogge committed
1230
        [
1231
1232
1233
1234
            "CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CodeGenForCausalLM",
            "CodeGenModel",
            "CodeGenPreTrainedModel",
NielsRogge's avatar
NielsRogge committed
1235
1236
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
    _import_structure["models.convbert"].extend(
        [
            "CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvBertForMaskedLM",
            "ConvBertForMultipleChoice",
            "ConvBertForQuestionAnswering",
            "ConvBertForSequenceClassification",
            "ConvBertForTokenClassification",
            "ConvBertLayer",
            "ConvBertModel",
            "ConvBertPreTrainedModel",
            "load_tf_weights_in_convbert",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1251
1252
1253
    _import_structure["models.convnext"].extend(
        [
            "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
1254
            "ConvNextBackbone",
NielsRogge's avatar
NielsRogge committed
1255
1256
1257
1258
1259
            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
1260
1261
1262
1263
1264
1265
1266
1267
1268
    _import_structure["models.ctrl"].extend(
        [
            "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CTRLForSequenceClassification",
            "CTRLLMHeadModel",
            "CTRLModel",
            "CTRLPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1269
1270
1271
1272
1273
1274
1275
1276
    _import_structure["models.cvt"].extend(
        [
            "CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CvtForImageClassification",
            "CvtModel",
            "CvtPreTrainedModel",
        ]
    )
1277
1278
1279
1280
    _import_structure["models.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
1281
            "DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST",
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
1296
1297
1298
1299
            "Data2VecVisionForImageClassification",
            "Data2VecVisionForSemanticSegmentation",
            "Data2VecVisionModel",
            "Data2VecVisionPreTrainedModel",
1300
1301
        ]
    )
1302
1303
1304
    _import_structure["models.deberta"].extend(
        [
            "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1305
1306
            "DebertaForMaskedLM",
            "DebertaForQuestionAnswering",
1307
            "DebertaForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1308
            "DebertaForTokenClassification",
1309
1310
1311
1312
            "DebertaModel",
            "DebertaPreTrainedModel",
        ]
    )
1313
1314
1315
    _import_structure["models.deberta_v2"].extend(
        [
            "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1316
            "DebertaV2ForMaskedLM",
1317
            "DebertaV2ForMultipleChoice",
Sylvain Gugger's avatar
Sylvain Gugger committed
1318
            "DebertaV2ForQuestionAnswering",
1319
            "DebertaV2ForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1320
            "DebertaV2ForTokenClassification",
1321
1322
1323
1324
            "DebertaV2Model",
            "DebertaV2PreTrainedModel",
        ]
    )
1325
1326
1327
1328
1329
1330
1331
1332
1333
    _import_structure["models.decision_transformer"].extend(
        [
            "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DecisionTransformerGPT2Model",
            "DecisionTransformerGPT2PreTrainedModel",
            "DecisionTransformerModel",
            "DecisionTransformerPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1334
1335
1336
1337
1338
    _import_structure["models.deit"].extend(
        [
            "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeiTForImageClassification",
            "DeiTForImageClassificationWithTeacher",
NielsRogge's avatar
NielsRogge committed
1339
            "DeiTForMaskedImageModeling",
NielsRogge's avatar
NielsRogge committed
1340
1341
1342
1343
            "DeiTModel",
            "DeiTPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1344
1345
1346
1347
1348
1349
1350
1351
    _import_structure["models.deta"].extend(
        [
            "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetaForObjectDetection",
            "DetaModel",
            "DetaPreTrainedModel",
        ]
    )
1352
1353
1354
    _import_structure["models.dinat"].extend(
        [
            "DINAT_PRETRAINED_MODEL_ARCHIVE_LIST",
1355
            "DinatBackbone",
1356
1357
1358
1359
1360
            "DinatForImageClassification",
            "DinatModel",
            "DinatPreTrainedModel",
        ]
    )
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
    _import_structure["models.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1373
1374
1375
1376
1377
1378
1379
    _import_structure["models.donut"].extend(
        [
            "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DonutSwinModel",
            "DonutSwinPreTrainedModel",
        ]
    )
1380
1381
1382
1383
1384
1385
1386
    _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",
1387
            "DPRPreTrainedModel",
1388
1389
1390
1391
1392
1393
            "DPRPretrainedQuestionEncoder",
            "DPRPretrainedReader",
            "DPRQuestionEncoder",
            "DPRReader",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1394
1395
1396
1397
1398
1399
1400
1401
1402
    _import_structure["models.dpt"].extend(
        [
            "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPTForDepthEstimation",
            "DPTForSemanticSegmentation",
            "DPTModel",
            "DPTPreTrainedModel",
        ]
    )
1403
1404
1405
1406
1407
1408
1409
1410
1411
    _import_structure["models.efficientformer"].extend(
        [
            "EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientFormerForImageClassification",
            "EfficientFormerForImageClassificationWithTeacher",
            "EfficientFormerModel",
            "EfficientFormerPreTrainedModel",
        ]
    )
1412
1413
1414
    _import_structure["models.electra"].extend(
        [
            "ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
1415
            "ElectraForCausalLM",
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
            "ElectraForMaskedLM",
            "ElectraForMultipleChoice",
            "ElectraForPreTraining",
            "ElectraForQuestionAnswering",
            "ElectraForSequenceClassification",
            "ElectraForTokenClassification",
            "ElectraModel",
            "ElectraPreTrainedModel",
            "load_tf_weights_in_electra",
        ]
    )
    _import_structure["models.encoder_decoder"].append("EncoderDecoderModel")
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
    _import_structure["models.ernie"].extend(
        [
            "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieForCausalLM",
            "ErnieForMaskedLM",
            "ErnieForMultipleChoice",
            "ErnieForNextSentencePrediction",
            "ErnieForPreTraining",
            "ErnieForQuestionAnswering",
            "ErnieForSequenceClassification",
            "ErnieForTokenClassification",
            "ErnieModel",
            "ErniePreTrainedModel",
        ]
    )
1443
1444
1445
    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
Matt's avatar
Matt committed
1446
            "EsmFoldPreTrainedModel",
1447
            "EsmForMaskedLM",
Matt's avatar
Matt committed
1448
            "EsmForProteinFolding",
1449
1450
1451
1452
1453
1454
            "EsmForSequenceClassification",
            "EsmForTokenClassification",
            "EsmModel",
            "EsmPreTrainedModel",
        ]
    )
1455
1456
1457
1458
1459
1460
1461
1462
1463
    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
1464
            "FlaubertPreTrainedModel",
1465
            "FlaubertWithLMHeadModel",
1466
1467
        ]
    )
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
    _import_structure["models.flava"].extend(
        [
            "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlavaForPreTraining",
            "FlavaImageCodebook",
            "FlavaImageModel",
            "FlavaModel",
            "FlavaMultimodalModel",
            "FlavaPreTrainedModel",
            "FlavaTextModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
    _import_structure["models.fnet"].extend(
        [
            "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FNetForMaskedLM",
            "FNetForMultipleChoice",
            "FNetForNextSentencePrediction",
            "FNetForPreTraining",
            "FNetForQuestionAnswering",
            "FNetForSequenceClassification",
            "FNetForTokenClassification",
            "FNetLayer",
            "FNetModel",
            "FNetPreTrainedModel",
        ]
    )
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
    _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",
1507
            "FunnelPreTrainedModel",
1508
1509
1510
            "load_tf_weights_in_funnel",
        ]
    )
1511
1512
1513
1514
1515
1516
1517
1518
1519
    _import_structure["models.git"].extend(
        [
            "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GitForCausalLM",
            "GitModel",
            "GitPreTrainedModel",
            "GitVisionModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1520
1521
1522
1523
1524
1525
1526
1527
    _import_structure["models.glpn"].extend(
        [
            "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GLPNForDepthEstimation",
            "GLPNModel",
            "GLPNPreTrainedModel",
        ]
    )
1528
1529
1530
1531
1532
    _import_structure["models.gpt2"].extend(
        [
            "GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPT2DoubleHeadsModel",
            "GPT2ForSequenceClassification",
1533
            "GPT2ForTokenClassification",
1534
1535
1536
1537
1538
1539
            "GPT2LMHeadModel",
            "GPT2Model",
            "GPT2PreTrainedModel",
            "load_tf_weights_in_gpt2",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1540
1541
1542
1543
    _import_structure["models.gpt_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
1544
            "GPTNeoForSequenceClassification",
Suraj Patil's avatar
Suraj Patil committed
1545
1546
1547
1548
1549
            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
1550
1551
1552
1553
1554
1555
1556
1557
1558
    _import_structure["models.gpt_neox"].extend(
        [
            "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXForCausalLM",
            "GPTNeoXLayer",
            "GPTNeoXModel",
            "GPTNeoXPreTrainedModel",
        ]
    )
1559
1560
1561
1562
1563
1564
1565
1566
1567
    _import_structure["models.gpt_neox_japanese"].extend(
        [
            "GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXJapaneseForCausalLM",
            "GPTNeoXJapaneseLayer",
            "GPTNeoXJapaneseModel",
            "GPTNeoXJapanesePreTrainedModel",
        ]
    )
Stella Biderman's avatar
Stella Biderman committed
1568
1569
1570
1571
    _import_structure["models.gptj"].extend(
        [
            "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTJForCausalLM",
1572
            "GPTJForQuestionAnswering",
Stella Biderman's avatar
Stella Biderman committed
1573
1574
1575
1576
1577
            "GPTJForSequenceClassification",
            "GPTJModel",
            "GPTJPreTrainedModel",
        ]
    )
1578
1579
1580
1581
1582
1583
1584
1585
    _import_structure["models.graphormer"].extend(
        [
            "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GraphormerForGraphClassification",
            "GraphormerModel",
            "GraphormerPreTrainedModel",
        ]
    )
1586
1587
1588
1589
1590
1591
1592
1593
1594
    _import_structure["models.groupvit"].extend(
        [
            "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GroupViTModel",
            "GroupViTPreTrainedModel",
            "GroupViTTextModel",
            "GroupViTVisionModel",
        ]
    )
Patrick von Platen's avatar
Patrick von Platen committed
1595
1596
1597
1598
    _import_structure["models.hubert"].extend(
        [
            "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "HubertForCTC",
1599
            "HubertForSequenceClassification",
Patrick von Platen's avatar
Patrick von Platen committed
1600
1601
1602
1603
            "HubertModel",
            "HubertPreTrainedModel",
        ]
    )
Sehoon Kim's avatar
Sehoon Kim committed
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
    _import_structure["models.ibert"].extend(
        [
            "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IBertForMaskedLM",
            "IBertForMultipleChoice",
            "IBertForQuestionAnswering",
            "IBertForSequenceClassification",
            "IBertForTokenClassification",
            "IBertModel",
            "IBertPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1616
1617
1618
    _import_structure["models.imagegpt"].extend(
        [
            "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
1619
            "ImageGPTForCausalImageModeling",
NielsRogge's avatar
NielsRogge committed
1620
1621
1622
1623
1624
1625
            "ImageGPTForImageClassification",
            "ImageGPTModel",
            "ImageGPTPreTrainedModel",
            "load_tf_weights_in_imagegpt",
        ]
    )
1626
1627
1628
1629
1630
1631
    _import_structure["models.jukebox"].extend(
        [
            "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "JukeboxModel",
            "JukeboxPreTrainedModel",
            "JukeboxPrior",
1632
            "JukeboxVQVAE",
1633
1634
        ]
    )
1635
1636
1637
1638
    _import_structure["models.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
1639
            "LayoutLMForQuestionAnswering",
NielsRogge's avatar
NielsRogge committed
1640
            "LayoutLMForSequenceClassification",
1641
1642
            "LayoutLMForTokenClassification",
            "LayoutLMModel",
1643
            "LayoutLMPreTrainedModel",
1644
1645
        ]
    )
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
    _import_structure["models.layoutlmv2"].extend(
        [
            "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv2ForQuestionAnswering",
            "LayoutLMv2ForSequenceClassification",
            "LayoutLMv2ForTokenClassification",
            "LayoutLMv2Model",
            "LayoutLMv2PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
    _import_structure["models.layoutlmv3"].extend(
        [
            "LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv3ForQuestionAnswering",
            "LayoutLMv3ForSequenceClassification",
            "LayoutLMv3ForTokenClassification",
            "LayoutLMv3Model",
            "LayoutLMv3PreTrainedModel",
        ]
    )
1666
1667
1668
1669
1670
1671
1672
    _import_structure["models.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
1673
            "LEDPreTrainedModel",
1674
1675
        ]
    )
1676
1677
1678
1679
1680
1681
1682
1683
1684
    _import_structure["models.levit"].extend(
        [
            "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LevitForImageClassification",
            "LevitForImageClassificationWithTeacher",
            "LevitModel",
            "LevitPreTrainedModel",
        ]
    )
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
    _import_structure["models.lilt"].extend(
        [
            "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LiltForQuestionAnswering",
            "LiltForSequenceClassification",
            "LiltForTokenClassification",
            "LiltModel",
            "LiltPreTrainedModel",
        ]
    )
1695
1696
1697
1698
1699
1700
1701
1702
1703
    _import_structure["models.longformer"].extend(
        [
            "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongformerForMaskedLM",
            "LongformerForMultipleChoice",
            "LongformerForQuestionAnswering",
            "LongformerForSequenceClassification",
            "LongformerForTokenClassification",
            "LongformerModel",
1704
            "LongformerPreTrainedModel",
1705
1706
1707
            "LongformerSelfAttention",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
1708
1709
1710
1711
1712
1713
1714
1715
1716
    _import_structure["models.longt5"].extend(
        [
            "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongT5EncoderModel",
            "LongT5ForConditionalGeneration",
            "LongT5Model",
            "LongT5PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1717
1718
1719
1720
1721
1722
    _import_structure["models.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
1723
            "LukeForMaskedLM",
1724
1725
1726
1727
            "LukeForMultipleChoice",
            "LukeForQuestionAnswering",
            "LukeForSequenceClassification",
            "LukeForTokenClassification",
NielsRogge's avatar
NielsRogge committed
1728
1729
1730
1731
            "LukeModel",
            "LukePreTrainedModel",
        ]
    )
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
    _import_structure["models.lxmert"].extend(
        [
            "LxmertEncoder",
            "LxmertForPreTraining",
            "LxmertForQuestionAnswering",
            "LxmertModel",
            "LxmertPreTrainedModel",
            "LxmertVisualFeatureEncoder",
            "LxmertXLayer",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1743
1744
1745
1746
1747
    _import_structure["models.m2m_100"].extend(
        [
            "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
            "M2M100ForConditionalGeneration",
            "M2M100Model",
1748
            "M2M100PreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
1749
1750
1751
        ]
    )
    _import_structure["models.marian"].extend(["MarianForCausalLM", "MarianModel", "MarianMTModel"])
NielsRogge's avatar
NielsRogge committed
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
    _import_structure["models.markuplm"].extend(
        [
            "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MarkupLMForQuestionAnswering",
            "MarkupLMForSequenceClassification",
            "MarkupLMForTokenClassification",
            "MarkupLMModel",
            "MarkupLMPreTrainedModel",
        ]
    )
Alara Dirik's avatar
Alara Dirik committed
1762
1763
1764
1765
1766
1767
1768
1769
    _import_structure["models.mask2former"].extend(
        [
            "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Mask2FormerForUniversalSegmentation",
            "Mask2FormerModel",
            "Mask2FormerPreTrainedModel",
        ]
    )
1770
1771
1772
1773
1774
1775
1776
1777
1778
    _import_structure["models.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
            "MaskFormerSwinBackbone",
        ]
    )
1779
1780
    _import_structure["models.mbart"].extend(
        [
1781
            "MBartForCausalLM",
1782
1783
1784
1785
            "MBartForConditionalGeneration",
            "MBartForQuestionAnswering",
            "MBartForSequenceClassification",
            "MBartModel",
1786
            "MBartPreTrainedModel",
1787
1788
        ]
    )
Chan Woo Kim's avatar
Chan Woo Kim committed
1789
1790
1791
1792
1793
1794
1795
1796
    _import_structure["models.mctct"].extend(
        [
            "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MCTCTForCTC",
            "MCTCTModel",
            "MCTCTPreTrainedModel",
        ]
    )
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
    _import_structure["models.megatron_bert"].extend(
        [
            "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegatronBertForCausalLM",
            "MegatronBertForMaskedLM",
            "MegatronBertForMultipleChoice",
            "MegatronBertForNextSentencePrediction",
            "MegatronBertForPreTraining",
            "MegatronBertForQuestionAnswering",
            "MegatronBertForSequenceClassification",
            "MegatronBertForTokenClassification",
            "MegatronBertModel",
1809
            "MegatronBertPreTrainedModel",
1810
1811
        ]
    )
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
    _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",
        ]
    )
1829
1830
1831
1832
1833
1834
1835
1836
1837
    _import_structure["models.mobilenet_v1"].extend(
        [
            "MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV1ForImageClassification",
            "MobileNetV1Model",
            "MobileNetV1PreTrainedModel",
            "load_tf_weights_in_mobilenet_v1",
        ]
    )
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
    _import_structure["models.mobilenet_v2"].extend(
        [
            "MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV2ForImageClassification",
            "MobileNetV2ForSemanticSegmentation",
            "MobileNetV2Model",
            "MobileNetV2PreTrainedModel",
            "load_tf_weights_in_mobilenet_v2",
        ]
    )
1848
1849
1850
1851
1852
1853
1854
1855
1856
    _import_structure["models.mobilevit"].extend(
        [
            "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTForImageClassification",
            "MobileViTForSemanticSegmentation",
            "MobileViTModel",
            "MobileViTPreTrainedModel",
        ]
    )
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
1870
1871
1872
    _import_structure["models.mt5"].extend(
        ["MT5EncoderModel", "MT5ForConditionalGeneration", "MT5Model", "MT5PreTrainedModel"]
    )
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
    _import_structure["models.mvp"].extend(
        [
            "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MvpForCausalLM",
            "MvpForConditionalGeneration",
            "MvpForQuestionAnswering",
            "MvpForSequenceClassification",
            "MvpModel",
            "MvpPreTrainedModel",
        ]
    )
1884
1885
1886
    _import_structure["models.nat"].extend(
        [
            "NAT_PRETRAINED_MODEL_ARCHIVE_LIST",
1887
            "NatBackbone",
1888
1889
1890
1891
1892
            "NatForImageClassification",
            "NatModel",
            "NatPreTrainedModel",
        ]
    )
1893
1894
1895
1896
1897
    _import_structure["models.nezha"].extend(
        [
            "NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NezhaForMaskedLM",
            "NezhaForMultipleChoice",
1898
1899
            "NezhaForNextSentencePrediction",
            "NezhaForPreTraining",
1900
1901
1902
1903
1904
1905
1906
            "NezhaForQuestionAnswering",
            "NezhaForSequenceClassification",
            "NezhaForTokenClassification",
            "NezhaModel",
            "NezhaPreTrainedModel",
        ]
    )
novice's avatar
novice committed
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
    _import_structure["models.nystromformer"].extend(
        [
            "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NystromformerForMaskedLM",
            "NystromformerForMultipleChoice",
            "NystromformerForQuestionAnswering",
            "NystromformerForSequenceClassification",
            "NystromformerForTokenClassification",
            "NystromformerLayer",
            "NystromformerModel",
            "NystromformerPreTrainedModel",
        ]
    )
Jitesh Jain's avatar
Jitesh Jain committed
1920
1921
1922
1923
1924
1925
1926
1927
    _import_structure["models.oneformer"].extend(
        [
            "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OneFormerForUniversalSegmentation",
            "OneFormerModel",
            "OneFormerPreTrainedModel",
        ]
    )
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
    _import_structure["models.openai"].extend(
        [
            "OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OpenAIGPTDoubleHeadsModel",
            "OpenAIGPTForSequenceClassification",
            "OpenAIGPTLMHeadModel",
            "OpenAIGPTModel",
            "OpenAIGPTPreTrainedModel",
            "load_tf_weights_in_openai_gpt",
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
1939
1940
1941
1942
    _import_structure["models.opt"].extend(
        [
            "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OPTForCausalLM",
1943
1944
            "OPTForQuestionAnswering",
            "OPTForSequenceClassification",
Younes Belkada's avatar
Younes Belkada committed
1945
1946
1947
1948
            "OPTModel",
            "OPTPreTrainedModel",
        ]
    )
1949
1950
1951
    _import_structure["models.owlvit"].extend(
        [
            "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
1952
            "OwlViTForObjectDetection",
1953
1954
1955
1956
1957
1958
            "OwlViTModel",
            "OwlViTPreTrainedModel",
            "OwlViTTextModel",
            "OwlViTVisionModel",
        ]
    )
1959
    _import_structure["models.pegasus"].extend(
1960
        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
1961
    )
Jason Phang's avatar
Jason Phang committed
1962
1963
1964
1965
1966
1967
1968
1969
    _import_structure["models.pegasus_x"].extend(
        [
            "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PegasusXForConditionalGeneration",
            "PegasusXModel",
            "PegasusXPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
    _import_structure["models.perceiver"].extend(
        [
            "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PerceiverForImageClassificationConvProcessing",
            "PerceiverForImageClassificationFourier",
            "PerceiverForImageClassificationLearned",
            "PerceiverForMaskedLM",
            "PerceiverForMultimodalAutoencoding",
            "PerceiverForOpticalFlow",
            "PerceiverForSequenceClassification",
            "PerceiverLayer",
            "PerceiverModel",
            "PerceiverPreTrainedModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
    _import_structure["models.plbart"].extend(
        [
            "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PLBartForCausalLM",
            "PLBartForConditionalGeneration",
            "PLBartForSequenceClassification",
            "PLBartModel",
            "PLBartPreTrainedModel",
        ]
    )
Tanay Mehta's avatar
Tanay Mehta committed
1995
1996
1997
1998
1999
2000
2001
2002
    _import_structure["models.poolformer"].extend(
        [
            "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PoolFormerForImageClassification",
            "PoolFormerModel",
            "PoolFormerPreTrainedModel",
        ]
    )
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
    _import_structure["models.prophetnet"].extend(
        [
            "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ProphetNetDecoder",
            "ProphetNetEncoder",
            "ProphetNetForCausalLM",
            "ProphetNetForConditionalGeneration",
            "ProphetNetModel",
            "ProphetNetPreTrainedModel",
        ]
    )
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
    _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",
        ]
    )
2030
2031
2032
    _import_structure["models.rag"].extend(
        ["RagModel", "RagPreTrainedModel", "RagSequenceForGeneration", "RagTokenForGeneration"]
    )
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
    _import_structure["models.realm"].extend(
        [
            "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RealmEmbedder",
            "RealmForOpenQA",
            "RealmKnowledgeAugEncoder",
            "RealmPreTrainedModel",
            "RealmReader",
            "RealmRetriever",
            "RealmScorer",
            "load_tf_weights_in_realm",
        ]
    )
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
    _import_structure["models.reformer"].extend(
        [
            "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ReformerAttention",
            "ReformerForMaskedLM",
            "ReformerForQuestionAnswering",
            "ReformerForSequenceClassification",
            "ReformerLayer",
            "ReformerModel",
            "ReformerModelWithLMHead",
2056
            "ReformerPreTrainedModel",
2057
2058
        ]
    )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
2059
2060
2061
2062
2063
2064
2065
2066
    _import_structure["models.regnet"].extend(
        [
            "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RegNetForImageClassification",
            "RegNetModel",
            "RegNetPreTrainedModel",
        ]
    )
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
    _import_structure["models.rembert"].extend(
        [
            "REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RemBertForCausalLM",
            "RemBertForMaskedLM",
            "RemBertForMultipleChoice",
            "RemBertForQuestionAnswering",
            "RemBertForSequenceClassification",
            "RemBertForTokenClassification",
            "RemBertLayer",
            "RemBertModel",
            "RemBertPreTrainedModel",
            "load_tf_weights_in_rembert",
        ]
    )
2082
2083
2084
    _import_structure["models.resnet"].extend(
        [
            "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
2085
            "ResNetBackbone",
2086
2087
2088
2089
2090
            "ResNetForImageClassification",
            "ResNetModel",
            "ResNetPreTrainedModel",
        ]
    )
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
    _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",
2104
            "RobertaPreTrainedModel",
2105
2106
        ]
    )
2107
2108
2109
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaPreLayerNormForCausalLM",
            "RobertaPreLayerNormForMaskedLM",
            "RobertaPreLayerNormForMultipleChoice",
            "RobertaPreLayerNormForQuestionAnswering",
            "RobertaPreLayerNormForSequenceClassification",
            "RobertaPreLayerNormForTokenClassification",
            "RobertaPreLayerNormModel",
            "RobertaPreLayerNormPreTrainedModel",
        ]
    )
2120
    _import_structure["models.roc_bert"].extend(
NielsRogge's avatar
NielsRogge committed
2121
        [
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
            "ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoCBertForCausalLM",
            "RoCBertForMaskedLM",
            "RoCBertForMultipleChoice",
            "RoCBertForPreTraining",
            "RoCBertForQuestionAnswering",
            "RoCBertForSequenceClassification",
            "RoCBertForTokenClassification",
            "RoCBertLayer",
            "RoCBertModel",
            "RoCBertPreTrainedModel",
            "load_tf_weights_in_roc_bert",
NielsRogge's avatar
NielsRogge committed
2134
2135
        ]
    )
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
    _import_structure["models.roformer"].extend(
        [
            "ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoFormerForCausalLM",
            "RoFormerForMaskedLM",
            "RoFormerForMultipleChoice",
            "RoFormerForQuestionAnswering",
            "RoFormerForSequenceClassification",
            "RoFormerForTokenClassification",
            "RoFormerLayer",
            "RoFormerModel",
            "RoFormerPreTrainedModel",
            "load_tf_weights_in_roformer",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
    _import_structure["models.segformer"].extend(
        [
            "SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SegformerDecodeHead",
            "SegformerForImageClassification",
            "SegformerForSemanticSegmentation",
            "SegformerLayer",
            "SegformerModel",
            "SegformerPreTrainedModel",
        ]
    )
2162
2163
2164
2165
    _import_structure["models.sew"].extend(
        [
            "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWForCTC",
2166
            "SEWForSequenceClassification",
2167
2168
2169
2170
2171
2172
2173
2174
            "SEWModel",
            "SEWPreTrainedModel",
        ]
    )
    _import_structure["models.sew_d"].extend(
        [
            "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWDForCTC",
2175
            "SEWDForSequenceClassification",
2176
2177
2178
2179
            "SEWDModel",
            "SEWDPreTrainedModel",
        ]
    )
2180
    _import_structure["models.speech_encoder_decoder"].extend(["SpeechEncoderDecoderModel"])
Sylvain Gugger's avatar
Sylvain Gugger committed
2181
2182
2183
2184
2185
    _import_structure["models.speech_to_text"].extend(
        [
            "SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Speech2TextForConditionalGeneration",
            "Speech2TextModel",
2186
            "Speech2TextPreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
2187
2188
        ]
    )
2189
    _import_structure["models.speech_to_text_2"].extend(["Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel"])
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
    _import_structure["models.speecht5"].extend(
        [
            "SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SpeechT5ForSpeechToSpeech",
            "SpeechT5ForSpeechToText",
            "SpeechT5ForTextToSpeech",
            "SpeechT5HifiGan",
            "SpeechT5Model",
            "SpeechT5PreTrainedModel",
        ]
    )
Ori Ram's avatar
Ori Ram committed
2201
2202
2203
    _import_structure["models.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
2204
            "SplinterForPreTraining",
Ori Ram's avatar
Ori Ram committed
2205
2206
2207
2208
2209
2210
            "SplinterForQuestionAnswering",
            "SplinterLayer",
            "SplinterModel",
            "SplinterPreTrainedModel",
        ]
    )
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
    _import_structure["models.squeezebert"].extend(
        [
            "SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SqueezeBertForMaskedLM",
            "SqueezeBertForMultipleChoice",
            "SqueezeBertForQuestionAnswering",
            "SqueezeBertForSequenceClassification",
            "SqueezeBertForTokenClassification",
            "SqueezeBertModel",
            "SqueezeBertModule",
            "SqueezeBertPreTrainedModel",
        ]
    )
novice's avatar
novice committed
2224
2225
2226
    _import_structure["models.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
2227
            "SwinBackbone",
novice's avatar
novice committed
2228
            "SwinForImageClassification",
NielsRogge's avatar
NielsRogge committed
2229
            "SwinForMaskedImageModeling",
novice's avatar
novice committed
2230
2231
2232
2233
            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2234
2235
2236
2237
2238
2239
2240
2241
    _import_structure["models.swin2sr"].extend(
        [
            "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swin2SRForImageSuperResolution",
            "Swin2SRModel",
            "Swin2SRPreTrainedModel",
        ]
    )
2242
2243
2244
2245
2246
2247
2248
2249
2250
    _import_structure["models.swinv2"].extend(
        [
            "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swinv2ForImageClassification",
            "Swinv2ForMaskedImageModeling",
            "Swinv2Model",
            "Swinv2PreTrainedModel",
        ]
    )
2251
    _import_structure["models.switch_transformers"].extend(
2252
        [
2253
2254
2255
2256
2257
2258
2259
            "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwitchTransformersEncoderModel",
            "SwitchTransformersForConditionalGeneration",
            "SwitchTransformersModel",
            "SwitchTransformersPreTrainedModel",
            "SwitchTransformersSparseMLP",
            "SwitchTransformersTop1Router",
2260
2261
        ]
    )
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
2272
    _import_structure["models.tapas"].extend(
2273
        [
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
            "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TapasForMaskedLM",
            "TapasForQuestionAnswering",
            "TapasForSequenceClassification",
            "TapasModel",
            "TapasPreTrainedModel",
            "load_tf_weights_in_tapas",
        ]
    )
    _import_structure["models.time_series_transformer"].extend(
        [
            "TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimeSeriesTransformerForPrediction",
            "TimeSeriesTransformerModel",
            "TimeSeriesTransformerPreTrainedModel",
2289
2290
        ]
    )
2291
2292
2293
2294
2295
2296
2297
2298
    _import_structure["models.timesformer"].extend(
        [
            "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimesformerForVideoClassification",
            "TimesformerModel",
            "TimesformerPreTrainedModel",
        ]
    )
Carl's avatar
Carl committed
2299
2300
2301
2302
2303
2304
2305
    _import_structure["models.trajectory_transformer"].extend(
        [
            "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TrajectoryTransformerModel",
            "TrajectoryTransformerPreTrainedModel",
        ]
    )
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
    _import_structure["models.transfo_xl"].extend(
        [
            "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AdaptiveEmbedding",
            "TransfoXLForSequenceClassification",
            "TransfoXLLMHeadModel",
            "TransfoXLModel",
            "TransfoXLPreTrainedModel",
            "load_tf_weights_in_transfo_xl",
        ]
    )
2317
2318
2319
    _import_structure["models.trocr"].extend(
        ["TROCR_PRETRAINED_MODEL_ARCHIVE_LIST", "TrOCRForCausalLM", "TrOCRPreTrainedModel"]
    )
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
    _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",
2333
            "UniSpeechSatForAudioFrameClassification",
2334
2335
2336
            "UniSpeechSatForCTC",
            "UniSpeechSatForPreTraining",
            "UniSpeechSatForSequenceClassification",
2337
            "UniSpeechSatForXVector",
2338
2339
2340
2341
            "UniSpeechSatModel",
            "UniSpeechSatPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2342
2343
2344
2345
2346
2347
    _import_structure["models.upernet"].extend(
        [
            "UperNetForSemanticSegmentation",
            "UperNetPreTrainedModel",
        ]
    )
2348
2349
2350
2351
2352
2353
2354
2355
    _import_structure["models.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
2356
2357
2358
2359
2360
2361
2362
2363
2364
    _import_structure["models.videomae"].extend(
        [
            "VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VideoMAEForPreTraining",
            "VideoMAEForVideoClassification",
            "VideoMAEModel",
            "VideoMAEPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2365
2366
2367
2368
2369
2370
2371
    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
2372
            "ViltForTokenClassification",
NielsRogge's avatar
NielsRogge committed
2373
2374
2375
2376
2377
            "ViltLayer",
            "ViltModel",
            "ViltPreTrainedModel",
        ]
    )
2378
    _import_structure["models.vision_encoder_decoder"].extend(["VisionEncoderDecoderModel"])
Suraj Patil's avatar
Suraj Patil committed
2379
    _import_structure["models.vision_text_dual_encoder"].extend(["VisionTextDualEncoderModel"])
Gunjan Chhablani's avatar
Gunjan Chhablani committed
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
    _import_structure["models.visual_bert"].extend(
        [
            "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VisualBertForMultipleChoice",
            "VisualBertForPreTraining",
            "VisualBertForQuestionAnswering",
            "VisualBertForRegionToPhraseAlignment",
            "VisualBertForVisualReasoning",
            "VisualBertLayer",
            "VisualBertModel",
            "VisualBertPreTrainedModel",
        ]
    )
2393
2394
2395
2396
    _import_structure["models.vit"].extend(
        [
            "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTForImageClassification",
NielsRogge's avatar
NielsRogge committed
2397
            "ViTForMaskedImageModeling",
2398
2399
2400
2401
            "ViTModel",
            "ViTPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2402
2403
2404
2405
2406
2407
2408
2409
    _import_structure["models.vit_hybrid"].extend(
        [
            "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTHybridForImageClassification",
            "ViTHybridModel",
            "ViTHybridPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2410
2411
2412
2413
2414
2415
2416
2417
2418
    _import_structure["models.vit_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
2419
2420
2421
2422
    _import_structure["models.vit_msn"].extend(
        [
            "VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMSNForImageClassification",
2423
            "ViTMSNModel",
2424
2425
2426
            "ViTMSNPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2427
2428
2429
    _import_structure["models.wav2vec2"].extend(
        [
            "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
2430
            "Wav2Vec2ForAudioFrameClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
2431
2432
            "Wav2Vec2ForCTC",
            "Wav2Vec2ForMaskedLM",
Anton Lozhkov's avatar
Anton Lozhkov committed
2433
            "Wav2Vec2ForPreTraining",
2434
            "Wav2Vec2ForSequenceClassification",
2435
            "Wav2Vec2ForXVector",
Sylvain Gugger's avatar
Sylvain Gugger committed
2436
2437
2438
2439
            "Wav2Vec2Model",
            "Wav2Vec2PreTrainedModel",
        ]
    )
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
    _import_structure["models.wav2vec2_conformer"].extend(
        [
            "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Wav2Vec2ConformerForAudioFrameClassification",
            "Wav2Vec2ConformerForCTC",
            "Wav2Vec2ConformerForPreTraining",
            "Wav2Vec2ConformerForSequenceClassification",
            "Wav2Vec2ConformerForXVector",
            "Wav2Vec2ConformerModel",
            "Wav2Vec2ConformerPreTrainedModel",
        ]
    )
Patrick von Platen's avatar
Patrick von Platen committed
2452
2453
2454
    _import_structure["models.wavlm"].extend(
        [
            "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
2455
            "WavLMForAudioFrameClassification",
Patrick von Platen's avatar
Patrick von Platen committed
2456
2457
            "WavLMForCTC",
            "WavLMForSequenceClassification",
2458
            "WavLMForXVector",
Patrick von Platen's avatar
Patrick von Platen committed
2459
2460
2461
2462
            "WavLMModel",
            "WavLMPreTrainedModel",
        ]
    )
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
    _import_structure["models.whisper"].extend(
        [
            "WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "WhisperForConditionalGeneration",
            "WhisperModel",
            "WhisperPreTrainedModel",
        ]
    )
    _import_structure["models.x_clip"].extend(
        [
            "XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XCLIPModel",
            "XCLIPPreTrainedModel",
            "XCLIPTextModel",
            "XCLIPVisionModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
2480
2481
2482
2483
2484
2485
2486
2487
    _import_structure["models.xglm"].extend(
        [
            "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XGLMForCausalLM",
            "XGLMModel",
            "XGLMPreTrainedModel",
        ]
    )
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
    _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",
2509
            "XLMProphetNetPreTrainedModel",
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
2522
            "XLMRobertaPreTrainedModel",
2523
2524
        ]
    )
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
    _import_structure["models.xlm_roberta_xl"].extend(
        [
            "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaXLForCausalLM",
            "XLMRobertaXLForMaskedLM",
            "XLMRobertaXLForMultipleChoice",
            "XLMRobertaXLForQuestionAnswering",
            "XLMRobertaXLForSequenceClassification",
            "XLMRobertaXLForTokenClassification",
            "XLMRobertaXLModel",
            "XLMRobertaXLPreTrainedModel",
        ]
    )
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
    _import_structure["models.xlnet"].extend(
        [
            "XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLNetForMultipleChoice",
            "XLNetForQuestionAnswering",
            "XLNetForQuestionAnsweringSimple",
            "XLNetForSequenceClassification",
            "XLNetForTokenClassification",
            "XLNetLMHeadModel",
            "XLNetModel",
            "XLNetPreTrainedModel",
            "load_tf_weights_in_xlnet",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2552
2553
2554
2555
2556
2557
2558
2559
    _import_structure["models.yolos"].extend(
        [
            "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YolosForObjectDetection",
            "YolosModel",
            "YolosPreTrainedModel",
        ]
    )
novice's avatar
novice committed
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
    _import_structure["models.yoso"].extend(
        [
            "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YosoForMaskedLM",
            "YosoForMultipleChoice",
            "YosoForQuestionAnswering",
            "YosoForSequenceClassification",
            "YosoForTokenClassification",
            "YosoLayer",
            "YosoModel",
            "YosoPreTrainedModel",
        ]
    )
2573
2574
2575
2576
2577
2578
2579
    _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",
2580
        "get_inverse_sqrt_schedule",
2581
2582
2583
2584
        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
2585
    _import_structure["pytorch_utils"] = ["Conv1D", "apply_chunking_to_forward", "prune_layer"]
2586
    _import_structure["sagemaker"] = []
2587
2588
2589
2590
2591
    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]

# TensorFlow-backed objects
2592
2593
2594
2595
2596
2597
2598
2599
try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_tf_objects

    _import_structure["utils.dummy_tf_objects"] = [name for name in dir(dummy_tf_objects) if not name.startswith("_")]
else:
2600
    _import_structure["activations_tf"] = []
2601
2602
    _import_structure["benchmark.benchmark_args_tf"] = ["TensorFlowBenchmarkArguments"]
    _import_structure["benchmark.benchmark_tf"] = ["TensorFlowBenchmark"]
2603
2604
2605
2606
    _import_structure["generation"].extend(
        [
            "TFForcedBOSTokenLogitsProcessor",
            "TFForcedEOSTokenLogitsProcessor",
2607
            "TFGenerationMixin",
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
            "TFLogitsProcessor",
            "TFLogitsProcessorList",
            "TFLogitsWarper",
            "TFMinLengthLogitsProcessor",
            "TFNoBadWordsLogitsProcessor",
            "TFNoRepeatNGramLogitsProcessor",
            "TFRepetitionPenaltyLogitsProcessor",
            "TFTemperatureLogitsWarper",
            "TFTopKLogitsWarper",
            "TFTopPLogitsWarper",
            "tf_top_k_top_p_filtering",
        ]
    )
2621
    _import_structure["generation_tf_utils"] = []
2622
    _import_structure["keras_callbacks"] = ["KerasMetricCallback", "PushToHubCallback"]
2623
    _import_structure["modeling_tf_outputs"] = []
2624
2625
2626
2627
2628
2629
2630
2631
2632
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
    _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",
        ]
2644
    )
2645
2646
2647
    _import_structure["models.auto"].extend(
        [
            "TF_MODEL_FOR_CAUSAL_LM_MAPPING",
2648
            "TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
Yih-Dar's avatar
Yih-Dar committed
2649
            "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
2650
            "TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
2651
2652
2653
2654
2655
            "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",
2656
            "TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
2657
2658
            "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
Joao Gante's avatar
Joao Gante committed
2659
            "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
Kamal Raj's avatar
Kamal Raj committed
2660
            "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
2661
            "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
2662
            "TF_MODEL_FOR_VISION_2_SEQ_MAPPING",
2663
2664
2665
2666
            "TF_MODEL_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
            "TFAutoModelForCausalLM",
2667
            "TFAutoModelForDocumentQuestionAnswering",
Yih-Dar's avatar
Yih-Dar committed
2668
            "TFAutoModelForImageClassification",
2669
2670
            "TFAutoModelForMaskedLM",
            "TFAutoModelForMultipleChoice",
2671
            "TFAutoModelForNextSentencePrediction",
2672
2673
            "TFAutoModelForPreTraining",
            "TFAutoModelForQuestionAnswering",
2674
            "TFAutoModelForSemanticSegmentation",
2675
2676
            "TFAutoModelForSeq2SeqLM",
            "TFAutoModelForSequenceClassification",
Joao Gante's avatar
Joao Gante committed
2677
            "TFAutoModelForSpeechSeq2Seq",
Kamal Raj's avatar
Kamal Raj committed
2678
            "TFAutoModelForTableQuestionAnswering",
2679
            "TFAutoModelForTokenClassification",
2680
            "TFAutoModelForVision2Seq",
2681
2682
            "TFAutoModelWithLMHead",
        ]
Vasily Shamporov's avatar
Vasily Shamporov committed
2683
    )
2684
2685
2686
    _import_structure["models.bart"].extend(
        ["TFBartForConditionalGeneration", "TFBartForSequenceClassification", "TFBartModel", "TFBartPretrainedModel"]
    )
2687
2688
2689
2690
2691
2692
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
    _import_structure["models.bert"].extend(
        [
            "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBertEmbeddings",
            "TFBertForMaskedLM",
            "TFBertForMultipleChoice",
            "TFBertForNextSentencePrediction",
            "TFBertForPreTraining",
            "TFBertForQuestionAnswering",
            "TFBertForSequenceClassification",
            "TFBertForTokenClassification",
            "TFBertLMHeadModel",
            "TFBertMainLayer",
            "TFBertModel",
            "TFBertPreTrainedModel",
        ]
2703
    )
2704
2705
2706
    _import_structure["models.blenderbot"].extend(
        ["TFBlenderbotForConditionalGeneration", "TFBlenderbotModel", "TFBlenderbotPreTrainedModel"]
    )
2707
    _import_structure["models.blenderbot_small"].extend(
2708
        ["TFBlenderbotSmallForConditionalGeneration", "TFBlenderbotSmallModel", "TFBlenderbotSmallPreTrainedModel"]
2709
    )
2710
2711
2712
    _import_structure["models.camembert"].extend(
        [
            "TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
2713
            "TFCamembertForCausalLM",
2714
2715
2716
2717
2718
2719
            "TFCamembertForMaskedLM",
            "TFCamembertForMultipleChoice",
            "TFCamembertForQuestionAnswering",
            "TFCamembertForSequenceClassification",
            "TFCamembertForTokenClassification",
            "TFCamembertModel",
2720
            "TFCamembertPreTrainedModel",
2721
        ]
2722
    )
Yih-Dar's avatar
Yih-Dar committed
2723
2724
2725
2726
2727
2728
2729
2730
2731
    _import_structure["models.clip"].extend(
        [
            "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCLIPModel",
            "TFCLIPPreTrainedModel",
            "TFCLIPTextModel",
            "TFCLIPVisionModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2732
2733
2734
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
    _import_structure["models.convbert"].extend(
        [
            "TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFConvBertForMaskedLM",
            "TFConvBertForMultipleChoice",
            "TFConvBertForQuestionAnswering",
            "TFConvBertForSequenceClassification",
            "TFConvBertForTokenClassification",
            "TFConvBertLayer",
            "TFConvBertModel",
            "TFConvBertPreTrainedModel",
        ]
    )
Sayak Paul's avatar
Sayak Paul committed
2745
2746
2747
2748
2749
2750
2751
    _import_structure["models.convnext"].extend(
        [
            "TFConvNextForImageClassification",
            "TFConvNextModel",
            "TFConvNextPreTrainedModel",
        ]
    )
2752
2753
2754
2755
2756
2757
2758
2759
    _import_structure["models.ctrl"].extend(
        [
            "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCTRLForSequenceClassification",
            "TFCTRLLMHeadModel",
            "TFCTRLModel",
            "TFCTRLPreTrainedModel",
        ]
NielsRogge's avatar
NielsRogge committed
2760
    )
2761
2762
2763
2764
2765
2766
2767
2768
    _import_structure["models.cvt"].extend(
        [
            "TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCvtForImageClassification",
            "TFCvtModel",
            "TFCvtPreTrainedModel",
        ]
    )
2769
2770
2771
    _import_structure["models.data2vec"].extend(
        [
            "TFData2VecVisionForImageClassification",
2772
            "TFData2VecVisionForSemanticSegmentation",
2773
2774
2775
2776
            "TFData2VecVisionModel",
            "TFData2VecVisionPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2777
2778
2779
2780
2781
2782
2783
2784
2785
2786
2787
    _import_structure["models.deberta"].extend(
        [
            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaForMaskedLM",
            "TFDebertaForQuestionAnswering",
            "TFDebertaForSequenceClassification",
            "TFDebertaForTokenClassification",
            "TFDebertaModel",
            "TFDebertaPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2788
2789
2790
2791
2792
2793
2794
2795
2796
2797
2798
    _import_structure["models.deberta_v2"].extend(
        [
            "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaV2ForMaskedLM",
            "TFDebertaV2ForQuestionAnswering",
            "TFDebertaV2ForSequenceClassification",
            "TFDebertaV2ForTokenClassification",
            "TFDebertaV2Model",
            "TFDebertaV2PreTrainedModel",
        ]
    )
2799
2800
2801
2802
2803
2804
2805
2806
2807
2808
    _import_structure["models.deit"].extend(
        [
            "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDeiTForImageClassification",
            "TFDeiTForImageClassificationWithTeacher",
            "TFDeiTForMaskedImageModeling",
            "TFDeiTModel",
            "TFDeiTPreTrainedModel",
        ]
    )
2809
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
2820
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
    _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",
        ]
    )
2848
    _import_structure["models.encoder_decoder"].append("TFEncoderDecoderModel")
Matt's avatar
Matt committed
2849
2850
2851
2852
2853
2854
2855
2856
2857
2858
    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEsmForMaskedLM",
            "TFEsmForSequenceClassification",
            "TFEsmForTokenClassification",
            "TFEsmModel",
            "TFEsmPreTrainedModel",
        ]
    )
2859
2860
2861
2862
2863
2864
2865
2866
    _import_structure["models.flaubert"].extend(
        [
            "TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFlaubertForMultipleChoice",
            "TFFlaubertForQuestionAnsweringSimple",
            "TFFlaubertForSequenceClassification",
            "TFFlaubertForTokenClassification",
            "TFFlaubertModel",
2867
            "TFFlaubertPreTrainedModel",
2868
2869
2870
2871
2872
2873
2874
2875
2876
2877
2878
2879
2880
2881
            "TFFlaubertWithLMHeadModel",
        ]
    )
    _import_structure["models.funnel"].extend(
        [
            "TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFunnelBaseModel",
            "TFFunnelForMaskedLM",
            "TFFunnelForMultipleChoice",
            "TFFunnelForPreTraining",
            "TFFunnelForQuestionAnswering",
            "TFFunnelForSequenceClassification",
            "TFFunnelForTokenClassification",
            "TFFunnelModel",
2882
            "TFFunnelPreTrainedModel",
2883
2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
        ]
    )
    _import_structure["models.gpt2"].extend(
        [
            "TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGPT2DoubleHeadsModel",
            "TFGPT2ForSequenceClassification",
            "TFGPT2LMHeadModel",
            "TFGPT2MainLayer",
            "TFGPT2Model",
            "TFGPT2PreTrainedModel",
        ]
    )
2896
2897
2898
2899
2900
2901
2902
2903
2904
    _import_structure["models.gptj"].extend(
        [
            "TFGPTJForCausalLM",
            "TFGPTJForQuestionAnswering",
            "TFGPTJForSequenceClassification",
            "TFGPTJModel",
            "TFGPTJPreTrainedModel",
        ]
    )
2905
2906
2907
2908
2909
2910
2911
2912
2913
    _import_structure["models.groupvit"].extend(
        [
            "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGroupViTModel",
            "TFGroupViTPreTrainedModel",
            "TFGroupViTTextModel",
            "TFGroupViTVisionModel",
        ]
    )
Will Rice's avatar
Will Rice committed
2914
2915
2916
2917
2918
2919
2920
2921
    _import_structure["models.hubert"].extend(
        [
            "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFHubertForCTC",
            "TFHubertModel",
            "TFHubertPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2922
2923
2924
2925
    _import_structure["models.layoutlm"].extend(
        [
            "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMForMaskedLM",
2926
            "TFLayoutLMForQuestionAnswering",
2927
            "TFLayoutLMForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
2928
            "TFLayoutLMForTokenClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
2929
            "TFLayoutLMMainLayer",
Sylvain Gugger's avatar
Sylvain Gugger committed
2930
2931
2932
2933
            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
    _import_structure["models.layoutlmv3"].extend(
        [
            "TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMv3ForQuestionAnswering",
            "TFLayoutLMv3ForSequenceClassification",
            "TFLayoutLMv3ForTokenClassification",
            "TFLayoutLMv3Model",
            "TFLayoutLMv3PreTrainedModel",
        ]
    )
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
    _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",
2954
            "TFLongformerPreTrainedModel",
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
            "TFLongformerSelfAttention",
        ]
    )
    _import_structure["models.lxmert"].extend(
        [
            "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLxmertForPreTraining",
            "TFLxmertMainLayer",
            "TFLxmertModel",
            "TFLxmertPreTrainedModel",
            "TFLxmertVisualFeatureEncoder",
        ]
    )
2968
2969
2970
2971
    _import_structure["models.marian"].extend(["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"])
    _import_structure["models.mbart"].extend(
        ["TFMBartForConditionalGeneration", "TFMBartModel", "TFMBartPreTrainedModel"]
    )
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
    _import_structure["models.mobilebert"].extend(
        [
            "TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileBertForMaskedLM",
            "TFMobileBertForMultipleChoice",
            "TFMobileBertForNextSentencePrediction",
            "TFMobileBertForPreTraining",
            "TFMobileBertForQuestionAnswering",
            "TFMobileBertForSequenceClassification",
            "TFMobileBertForTokenClassification",
            "TFMobileBertMainLayer",
            "TFMobileBertModel",
            "TFMobileBertPreTrainedModel",
        ]
    )
Sayak Paul's avatar
Sayak Paul committed
2987
2988
2989
2990
2991
    _import_structure["models.mobilevit"].extend(
        [
            "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileViTForImageClassification",
            "TFMobileViTForSemanticSegmentation",
2992
2993
            "TFMobileViTModel",
            "TFMobileViTPreTrainedModel",
Sayak Paul's avatar
Sayak Paul committed
2994
2995
        ]
    )
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
3016
3017
3018
3019
3020
    _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",
        ]
    )
Arthur's avatar
Arthur committed
3021
3022
3023
3024
3025
3026
3027
    _import_structure["models.opt"].extend(
        [
            "TFOPTForCausalLM",
            "TFOPTModel",
            "TFOPTPreTrainedModel",
        ]
    )
3028
3029
3030
    _import_structure["models.pegasus"].extend(
        ["TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel"]
    )
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
3031
3032
3033
    _import_structure["models.rag"].extend(
        [
            "TFRagModel",
3034
            "TFRagPreTrainedModel",
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
3035
3036
3037
3038
            "TFRagSequenceForGeneration",
            "TFRagTokenForGeneration",
        ]
    )
3039
3040
3041
3042
3043
3044
3045
3046
    _import_structure["models.regnet"].extend(
        [
            "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRegNetForImageClassification",
            "TFRegNetModel",
            "TFRegNetPreTrainedModel",
        ]
    )
3047
3048
3049
3050
3051
3052
3053
3054
3055
3056
3057
3058
3059
3060
    _import_structure["models.rembert"].extend(
        [
            "TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRemBertForCausalLM",
            "TFRemBertForMaskedLM",
            "TFRemBertForMultipleChoice",
            "TFRemBertForQuestionAnswering",
            "TFRemBertForSequenceClassification",
            "TFRemBertForTokenClassification",
            "TFRemBertLayer",
            "TFRemBertModel",
            "TFRemBertPreTrainedModel",
        ]
    )
amyeroberts's avatar
amyeroberts committed
3061
3062
3063
3064
3065
3066
3067
3068
    _import_structure["models.resnet"].extend(
        [
            "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFResNetForImageClassification",
            "TFResNetModel",
            "TFResNetPreTrainedModel",
        ]
    )
3069
3070
3071
    _import_structure["models.roberta"].extend(
        [
            "TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
3072
            "TFRobertaForCausalLM",
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
            "TFRobertaForMaskedLM",
            "TFRobertaForMultipleChoice",
            "TFRobertaForQuestionAnswering",
            "TFRobertaForSequenceClassification",
            "TFRobertaForTokenClassification",
            "TFRobertaMainLayer",
            "TFRobertaModel",
            "TFRobertaPreTrainedModel",
        ]
    )
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRobertaPreLayerNormForCausalLM",
            "TFRobertaPreLayerNormForMaskedLM",
            "TFRobertaPreLayerNormForMultipleChoice",
            "TFRobertaPreLayerNormForQuestionAnswering",
            "TFRobertaPreLayerNormForSequenceClassification",
            "TFRobertaPreLayerNormForTokenClassification",
            "TFRobertaPreLayerNormMainLayer",
            "TFRobertaPreLayerNormModel",
            "TFRobertaPreLayerNormPreTrainedModel",
        ]
    )
3097
3098
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
    _import_structure["models.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
3111
3112
3113
3114
3115
3116
3117
3118
3119
3120
    _import_structure["models.segformer"].extend(
        [
            "TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSegformerDecodeHead",
            "TFSegformerForImageClassification",
            "TFSegformerForSemanticSegmentation",
            "TFSegformerModel",
            "TFSegformerPreTrainedModel",
        ]
    )
Joao Gante's avatar
Joao Gante committed
3121
3122
3123
3124
3125
3126
3127
3128
    _import_structure["models.speech_to_text"].extend(
        [
            "TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSpeech2TextForConditionalGeneration",
            "TFSpeech2TextModel",
            "TFSpeech2TextPreTrainedModel",
        ]
    )
3129
3130
3131
3132
3133
3134
3135
3136
3137
    _import_structure["models.swin"].extend(
        [
            "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSwinForImageClassification",
            "TFSwinForMaskedImageModeling",
            "TFSwinModel",
            "TFSwinPreTrainedModel",
        ]
    )
3138
3139
3140
3141
3142
3143
3144
3145
    _import_structure["models.t5"].extend(
        [
            "TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFT5EncoderModel",
            "TFT5ForConditionalGeneration",
            "TFT5Model",
            "TFT5PreTrainedModel",
        ]
3146
    )
Kamal Raj's avatar
Kamal Raj committed
3147
3148
3149
3150
3151
3152
3153
3154
3155
3156
    _import_structure["models.tapas"].extend(
        [
            "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFTapasForMaskedLM",
            "TFTapasForQuestionAnswering",
            "TFTapasForSequenceClassification",
            "TFTapasModel",
            "TFTapasPreTrainedModel",
        ]
    )
3157
3158
3159
3160
3161
3162
3163
3164
3165
3166
3167
    _import_structure["models.transfo_xl"].extend(
        [
            "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAdaptiveEmbedding",
            "TFTransfoXLForSequenceClassification",
            "TFTransfoXLLMHeadModel",
            "TFTransfoXLMainLayer",
            "TFTransfoXLModel",
            "TFTransfoXLPreTrainedModel",
        ]
    )
3168
    _import_structure["models.vision_encoder_decoder"].extend(["TFVisionEncoderDecoderModel"])
Yih-Dar's avatar
Yih-Dar committed
3169
3170
3171
3172
3173
3174
3175
    _import_structure["models.vit"].extend(
        [
            "TFViTForImageClassification",
            "TFViTModel",
            "TFViTPreTrainedModel",
        ]
    )
Sayak Paul's avatar
Sayak Paul committed
3176
3177
3178
3179
3180
3181
3182
    _import_structure["models.vit_mae"].extend(
        [
            "TFViTMAEForPreTraining",
            "TFViTMAEModel",
            "TFViTMAEPreTrainedModel",
        ]
    )
Will Rice's avatar
Will Rice committed
3183
3184
3185
3186
3187
3188
3189
3190
    _import_structure["models.wav2vec2"].extend(
        [
            "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWav2Vec2ForCTC",
            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
amyeroberts's avatar
amyeroberts committed
3191
3192
3193
3194
3195
3196
3197
3198
    _import_structure["models.whisper"].extend(
        [
            "TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWhisperForConditionalGeneration",
            "TFWhisperModel",
            "TFWhisperPreTrainedModel",
        ]
    )
3199
3200
3201
3202
3203
3204
3205
3206
    _import_structure["models.xglm"].extend(
        [
            "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXGLMForCausalLM",
            "TFXGLMModel",
            "TFXGLMPreTrainedModel",
        ]
    )
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
    _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",
3223
            "TFXLMRobertaForCausalLM",
3224
3225
3226
3227
3228
3229
            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
3230
            "TFXLMRobertaPreTrainedModel",
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
3245
3246
        ]
    )
    _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"]
3247
    _import_structure["tf_utils"] = []
3248
    _import_structure["trainer_tf"] = ["TFTrainer"]
thomwolf's avatar
thomwolf committed
3249

3250
3251

# FLAX-backed objects
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_flax_objects

    _import_structure["utils.dummy_flax_objects"] = [
        name for name in dir(dummy_flax_objects) if not name.startswith("_")
    ]
else:
3262
3263
3264
3265
    _import_structure["generation"].extend(
        [
            "FlaxForcedBOSTokenLogitsProcessor",
            "FlaxForcedEOSTokenLogitsProcessor",
3266
            "FlaxGenerationMixin",
3267
3268
3269
3270
3271
3272
3273
3274
3275
            "FlaxLogitsProcessor",
            "FlaxLogitsProcessorList",
            "FlaxLogitsWarper",
            "FlaxMinLengthLogitsProcessor",
            "FlaxTemperatureLogitsWarper",
            "FlaxTopKLogitsWarper",
            "FlaxTopPLogitsWarper",
        ]
    )
3276
    _import_structure["generation_flax_utils"] = []
3277
    _import_structure["modeling_flax_outputs"] = []
3278
    _import_structure["modeling_flax_utils"] = ["FlaxPreTrainedModel"]
Kamal Raj's avatar
Kamal Raj committed
3279
3280
3281
3282
3283
3284
3285
3286
3287
3288
3289
3290
    _import_structure["models.albert"].extend(
        [
            "FlaxAlbertForMaskedLM",
            "FlaxAlbertForMultipleChoice",
            "FlaxAlbertForPreTraining",
            "FlaxAlbertForQuestionAnswering",
            "FlaxAlbertForSequenceClassification",
            "FlaxAlbertForTokenClassification",
            "FlaxAlbertModel",
            "FlaxAlbertPreTrainedModel",
        ]
    )
3291
3292
    _import_structure["models.auto"].extend(
        [
Suraj Patil's avatar
Suraj Patil committed
3293
            "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING",
3294
            "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
3295
3296
3297
3298
3299
            "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",
3300
            "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
3301
3302
            "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
            "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
3303
            "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING",
3304
3305
            "FLAX_MODEL_MAPPING",
            "FlaxAutoModel",
Suraj Patil's avatar
Suraj Patil committed
3306
            "FlaxAutoModelForCausalLM",
3307
            "FlaxAutoModelForImageClassification",
3308
3309
3310
3311
3312
            "FlaxAutoModelForMaskedLM",
            "FlaxAutoModelForMultipleChoice",
            "FlaxAutoModelForNextSentencePrediction",
            "FlaxAutoModelForPreTraining",
            "FlaxAutoModelForQuestionAnswering",
3313
            "FlaxAutoModelForSeq2SeqLM",
3314
3315
            "FlaxAutoModelForSequenceClassification",
            "FlaxAutoModelForTokenClassification",
3316
            "FlaxAutoModelForVision2Seq",
3317
3318
        ]
    )
3319
3320

    # Flax models structure
Suraj Patil's avatar
Suraj Patil committed
3321

Daniel Stancl's avatar
Daniel Stancl committed
3322
3323
    _import_structure["models.bart"].extend(
        [
3324
3325
            "FlaxBartDecoderPreTrainedModel",
            "FlaxBartForCausalLM",
Daniel Stancl's avatar
Daniel Stancl committed
3326
3327
3328
3329
            "FlaxBartForConditionalGeneration",
            "FlaxBartForQuestionAnswering",
            "FlaxBartForSequenceClassification",
            "FlaxBartModel",
3330
            "FlaxBartPreTrainedModel",
Daniel Stancl's avatar
Daniel Stancl committed
3331
3332
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
3333
3334
3335
3336
3337
3338
3339
3340
    _import_structure["models.beit"].extend(
        [
            "FlaxBeitForImageClassification",
            "FlaxBeitForMaskedImageModeling",
            "FlaxBeitModel",
            "FlaxBeitPreTrainedModel",
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
3341

3342
3343
    _import_structure["models.bert"].extend(
        [
3344
            "FlaxBertForCausalLM",
3345
3346
3347
3348
3349
3350
3351
3352
3353
3354
3355
            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
3356
3357
    _import_structure["models.big_bird"].extend(
        [
3358
            "FlaxBigBirdForCausalLM",
Vasudev Gupta's avatar
Vasudev Gupta committed
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
            "FlaxBigBirdForMaskedLM",
            "FlaxBigBirdForMultipleChoice",
            "FlaxBigBirdForPreTraining",
            "FlaxBigBirdForQuestionAnswering",
            "FlaxBigBirdForSequenceClassification",
            "FlaxBigBirdForTokenClassification",
            "FlaxBigBirdModel",
            "FlaxBigBirdPreTrainedModel",
        ]
    )
3369
3370
3371
    _import_structure["models.blenderbot"].extend(
        ["FlaxBlenderbotForConditionalGeneration", "FlaxBlenderbotModel", "FlaxBlenderbotPreTrainedModel"]
    )
3372
3373
3374
3375
3376
3377
3378
    _import_structure["models.blenderbot_small"].extend(
        [
            "FlaxBlenderbotSmallForConditionalGeneration",
            "FlaxBlenderbotSmallModel",
            "FlaxBlenderbotSmallPreTrainedModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
3379
3380
3381
3382
3383
    _import_structure["models.clip"].extend(
        [
            "FlaxCLIPModel",
            "FlaxCLIPPreTrainedModel",
            "FlaxCLIPTextModel",
3384
            "FlaxCLIPTextPreTrainedModel",
Suraj Patil's avatar
Suraj Patil committed
3385
            "FlaxCLIPVisionModel",
3386
            "FlaxCLIPVisionPreTrainedModel",
Suraj Patil's avatar
Suraj Patil committed
3387
3388
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
3389
3390
3391
3392
3393
3394
3395
3396
3397
3398
3399
    _import_structure["models.distilbert"].extend(
        [
            "FlaxDistilBertForMaskedLM",
            "FlaxDistilBertForMultipleChoice",
            "FlaxDistilBertForQuestionAnswering",
            "FlaxDistilBertForSequenceClassification",
            "FlaxDistilBertForTokenClassification",
            "FlaxDistilBertModel",
            "FlaxDistilBertPreTrainedModel",
        ]
    )
3400
3401
    _import_structure["models.electra"].extend(
        [
3402
            "FlaxElectraForCausalLM",
3403
3404
3405
3406
3407
3408
3409
3410
3411
3412
            "FlaxElectraForMaskedLM",
            "FlaxElectraForMultipleChoice",
            "FlaxElectraForPreTraining",
            "FlaxElectraForQuestionAnswering",
            "FlaxElectraForSequenceClassification",
            "FlaxElectraForTokenClassification",
            "FlaxElectraModel",
            "FlaxElectraPreTrainedModel",
        ]
    )
3413
    _import_structure["models.encoder_decoder"].append("FlaxEncoderDecoderModel")
3414
    _import_structure["models.gpt2"].extend(["FlaxGPT2LMHeadModel", "FlaxGPT2Model", "FlaxGPT2PreTrainedModel"])
Suraj Patil's avatar
Suraj Patil committed
3415
3416
3417
    _import_structure["models.gpt_neo"].extend(
        ["FlaxGPTNeoForCausalLM", "FlaxGPTNeoModel", "FlaxGPTNeoPreTrainedModel"]
    )
Suraj Patil's avatar
Suraj Patil committed
3418
    _import_structure["models.gptj"].extend(["FlaxGPTJForCausalLM", "FlaxGPTJModel", "FlaxGPTJPreTrainedModel"])
Daniel Stancl's avatar
Daniel Stancl committed
3419
3420
3421
    _import_structure["models.longt5"].extend(
        ["FlaxLongT5ForConditionalGeneration", "FlaxLongT5Model", "FlaxLongT5PreTrainedModel"]
    )
3422
3423
3424
3425
3426
3427
3428
    _import_structure["models.marian"].extend(
        [
            "FlaxMarianModel",
            "FlaxMarianMTModel",
            "FlaxMarianPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
3429
3430
3431
3432
3433
3434
3435
3436
3437
    _import_structure["models.mbart"].extend(
        [
            "FlaxMBartForConditionalGeneration",
            "FlaxMBartForQuestionAnswering",
            "FlaxMBartForSequenceClassification",
            "FlaxMBartModel",
            "FlaxMBartPreTrainedModel",
        ]
    )
Crystina's avatar
Crystina committed
3438
    _import_structure["models.mt5"].extend(["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
Arthur's avatar
Arthur committed
3439
3440
3441
3442
3443
3444
3445
    _import_structure["models.opt"].extend(
        [
            "FlaxOPTForCausalLM",
            "FlaxOPTModel",
            "FlaxOPTPreTrainedModel",
        ]
    )
3446
3447
3448
3449
3450
3451
3452
    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
3453
3454
    _import_structure["models.roberta"].extend(
        [
3455
            "FlaxRobertaForCausalLM",
3456
3457
3458
3459
3460
3461
3462
3463
3464
            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
3475
3476
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "FlaxRobertaPreLayerNormForCausalLM",
            "FlaxRobertaPreLayerNormForMaskedLM",
            "FlaxRobertaPreLayerNormForMultipleChoice",
            "FlaxRobertaPreLayerNormForQuestionAnswering",
            "FlaxRobertaPreLayerNormForSequenceClassification",
            "FlaxRobertaPreLayerNormForTokenClassification",
            "FlaxRobertaPreLayerNormModel",
            "FlaxRobertaPreLayerNormPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
    _import_structure["models.roformer"].extend(
        [
            "FlaxRoFormerForMaskedLM",
            "FlaxRoFormerForMultipleChoice",
            "FlaxRoFormerForQuestionAnswering",
            "FlaxRoFormerForSequenceClassification",
            "FlaxRoFormerForTokenClassification",
            "FlaxRoFormerModel",
            "FlaxRoFormerPreTrainedModel",
        ]
    )
3488
    _import_structure["models.speech_encoder_decoder"].append("FlaxSpeechEncoderDecoderModel")
Crystina's avatar
Crystina committed
3489
3490
3491
    _import_structure["models.t5"].extend(
        ["FlaxT5EncoderModel", "FlaxT5ForConditionalGeneration", "FlaxT5Model", "FlaxT5PreTrainedModel"]
    )
3492
    _import_structure["models.vision_encoder_decoder"].append("FlaxVisionEncoderDecoderModel")
Suraj Patil's avatar
Suraj Patil committed
3493
    _import_structure["models.vision_text_dual_encoder"].extend(["FlaxVisionTextDualEncoderModel"])
3494
    _import_structure["models.vit"].extend(["FlaxViTForImageClassification", "FlaxViTModel", "FlaxViTPreTrainedModel"])
3495
3496
3497
    _import_structure["models.wav2vec2"].extend(
        ["FlaxWav2Vec2ForCTC", "FlaxWav2Vec2ForPreTraining", "FlaxWav2Vec2Model", "FlaxWav2Vec2PreTrainedModel"]
    )
Suraj Patil's avatar
Suraj Patil committed
3498
3499
3500
3501
3502
3503
3504
    _import_structure["models.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
3505
3506
    _import_structure["models.xlm_roberta"].extend(
        [
3507
            "FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
3508
3509
3510
3511
3512
3513
            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
3514
3515
            "FlaxXLMRobertaForCausalLM",
            "FlaxXLMRobertaPreTrainedModel",
3516
3517
        ]
    )
3518

3519

3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
# 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,
    )
3546
3547
3548
3549
3550
3551
3552
3553
3554
    from .data.data_collator import (
        DataCollator,
        DataCollatorForLanguageModeling,
        DataCollatorForPermutationLanguageModeling,
        DataCollatorForSeq2Seq,
        DataCollatorForSOP,
        DataCollatorForTokenClassification,
        DataCollatorForWholeWordMask,
        DataCollatorWithPadding,
3555
        DefaultDataCollator,
3556
3557
        default_data_collator,
    )
3558
    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
3559

3560
    # Feature Extractor
3561
    from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
3562
3563
3564

    # Generation
    from .generation import GenerationConfig
3565
    from .hf_argparser import HfArgumentParser
Patrick von Platen's avatar
Patrick von Platen committed
3566

3567
3568
    # Integrations
    from .integrations import (
3569
        is_clearml_available,
3570
        is_comet_available,
3571
        is_neptune_available,
3572
3573
3574
        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
3575
        is_sigopt_available,
3576
3577
        is_tensorboard_available,
        is_wandb_available,
3578
    )
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593

    # 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
Jongjyh's avatar
Jongjyh committed
3594
3595
3596
3597
3598
3599
3600
    from .models.altclip import (
        ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AltCLIPConfig,
        AltCLIPProcessor,
        AltCLIPTextConfig,
        AltCLIPVisionConfig,
    )
3601
3602
3603
3604
    from .models.audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ASTConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
3605
    from .models.auto import (
3606
3607
        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
3608
        FEATURE_EXTRACTOR_MAPPING,
amyeroberts's avatar
amyeroberts committed
3609
        IMAGE_PROCESSOR_MAPPING,
3610
        MODEL_NAMES_MAPPING,
Sylvain Gugger's avatar
Sylvain Gugger committed
3611
        PROCESSOR_MAPPING,
3612
3613
        TOKENIZER_MAPPING,
        AutoConfig,
3614
        AutoFeatureExtractor,
amyeroberts's avatar
amyeroberts committed
3615
        AutoImageProcessor,
Sylvain Gugger's avatar
Sylvain Gugger committed
3616
        AutoProcessor,
3617
3618
3619
        AutoTokenizer,
    )
    from .models.bart import BartConfig, BartTokenizer
NielsRogge's avatar
NielsRogge committed
3620
    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
3621
    from .models.bert import (
3622
3623
3624
3625
3626
        BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BasicTokenizer,
        BertConfig,
        BertTokenizer,
        WordpieceTokenizer,
3627
    )
3628
3629
3630
    from .models.bert_generation import BertGenerationConfig
    from .models.bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
    from .models.bertweet import BertweetTokenizer
3631
    from .models.big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig
Vasudev Gupta's avatar
Vasudev Gupta committed
3632
    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
3633
    from .models.biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig, BioGptTokenizer
NielsRogge's avatar
NielsRogge committed
3634
    from .models.bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig
3635
3636
3637
3638
3639
3640
    from .models.blenderbot import BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP, BlenderbotConfig, BlenderbotTokenizer
    from .models.blenderbot_small import (
        BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotSmallConfig,
        BlenderbotSmallTokenizer,
    )
Younes Belkada's avatar
Younes Belkada committed
3641
3642
3643
3644
3645
3646
3647
    from .models.blip import (
        BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlipConfig,
        BlipProcessor,
        BlipTextConfig,
        BlipVisionConfig,
    )
Younes Belkada's avatar
Younes Belkada committed
3648
    from .models.bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig
3649
3650
3651
3652
3653
3654
3655
    from .models.bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerProcessor,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
Patrick von Platen's avatar
Patrick von Platen committed
3656
    from .models.byt5 import ByT5Tokenizer
3657
    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
NielsRogge's avatar
NielsRogge committed
3658
    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
3659
3660
3661
3662
3663
3664
3665
    from .models.chinese_clip import (
        CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ChineseCLIPConfig,
        ChineseCLIPProcessor,
        ChineseCLIPTextConfig,
        ChineseCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
3666
3667
3668
    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
NielsRogge's avatar
NielsRogge committed
3669
        CLIPProcessor,
Suraj Patil's avatar
Suraj Patil committed
3670
3671
3672
3673
        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
3674
3675
3676
3677
3678
3679
3680
    from .models.clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegProcessor,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
rooa's avatar
rooa committed
3681
    from .models.codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenTokenizer
3682
    from .models.conditional_detr import CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, ConditionalDetrConfig
abhishek thakur's avatar
abhishek thakur committed
3683
    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
NielsRogge's avatar
NielsRogge committed
3684
    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
3685
    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
NielsRogge's avatar
NielsRogge committed
3686
    from .models.cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig
3687
3688
3689
3690
3691
3692
3693
    from .models.data2vec import (
        DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Data2VecAudioConfig,
        Data2VecTextConfig,
        Data2VecVisionConfig,
    )
3694
    from .models.deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaTokenizer
3695
    from .models.deberta_v2 import DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaV2Config
3696
3697
3698
3699
    from .models.decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
NielsRogge's avatar
NielsRogge committed
3700
    from .models.deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
NielsRogge's avatar
NielsRogge committed
3701
    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
NielsRogge's avatar
NielsRogge committed
3702
    from .models.deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
NielsRogge's avatar
NielsRogge committed
3703
    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
3704
    from .models.dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
3705
    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
NielsRogge's avatar
NielsRogge committed
3706
    from .models.donut import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutProcessor, DonutSwinConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
3707
    from .models.dpr import (
3708
3709
3710
3711
3712
3713
        DPR_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DPRConfig,
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
3714
    )
NielsRogge's avatar
NielsRogge committed
3715
    from .models.dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
3716
    from .models.efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig
3717
3718
    from .models.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
    from .models.encoder_decoder import EncoderDecoderConfig
3719
    from .models.ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig
3720
    from .models.esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig, EsmTokenizer
3721
    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
3722
3723
3724
3725
3726
3727
3728
3729
    from .models.flava import (
        FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
        FlavaConfig,
        FlavaImageCodebookConfig,
        FlavaImageConfig,
        FlavaMultimodalConfig,
        FlavaTextConfig,
    )
3730
    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig
3731
3732
    from .models.fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig, FSMTTokenizer
    from .models.funnel import FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP, FunnelConfig, FunnelTokenizer
3733
    from .models.git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitProcessor, GitVisionConfig
NielsRogge's avatar
NielsRogge committed
3734
    from .models.glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig
3735
    from .models.gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2Tokenizer
Suraj Patil's avatar
Suraj Patil committed
3736
    from .models.gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
3737
    from .models.gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig
3738
    from .models.gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
Stella Biderman's avatar
Stella Biderman committed
3739
    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
3740
    from .models.graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig
3741
3742
3743
3744
3745
3746
    from .models.groupvit import (
        GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GroupViTConfig,
        GroupViTTextConfig,
        GroupViTVisionConfig,
    )
3747
    from .models.herbert import HerbertTokenizer
Patrick von Platen's avatar
Patrick von Platen committed
3748
    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
Sehoon Kim's avatar
Sehoon Kim committed
3749
    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
NielsRogge's avatar
NielsRogge committed
3750
    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
3751
3752
3753
3754
3755
3756
3757
    from .models.jukebox import (
        JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
        JukeboxConfig,
        JukeboxPriorConfig,
        JukeboxTokenizer,
        JukeboxVQVAEConfig,
    )
3758
    from .models.layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMTokenizer
3759
3760
3761
3762
    from .models.layoutlmv2 import (
        LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv2Config,
        LayoutLMv2FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
3763
        LayoutLMv2ImageProcessor,
3764
3765
3766
        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
NielsRogge's avatar
NielsRogge committed
3767
3768
3769
3770
    from .models.layoutlmv3 import (
        LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv3Config,
        LayoutLMv3FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
3771
        LayoutLMv3ImageProcessor,
NielsRogge's avatar
NielsRogge committed
3772
3773
3774
        LayoutLMv3Processor,
        LayoutLMv3Tokenizer,
    )
3775
    from .models.layoutxlm import LayoutXLMProcessor
3776
    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
3777
    from .models.levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig
NielsRogge's avatar
NielsRogge committed
3778
    from .models.lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig
3779
    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
Daniel Stancl's avatar
Daniel Stancl committed
3780
    from .models.longt5 import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongT5Config
NielsRogge's avatar
NielsRogge committed
3781
    from .models.luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig, LukeTokenizer
3782
    from .models.lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig, LxmertTokenizer
3783
    from .models.m2m_100 import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, M2M100Config
3784
    from .models.marian import MarianConfig
NielsRogge's avatar
NielsRogge committed
3785
3786
3787
3788
3789
3790
3791
    from .models.markuplm import (
        MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MarkupLMConfig,
        MarkupLMFeatureExtractor,
        MarkupLMProcessor,
        MarkupLMTokenizer,
    )
Alara Dirik's avatar
Alara Dirik committed
3792
    from .models.mask2former import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Mask2FormerConfig
3793
    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig, MaskFormerSwinConfig
3794
    from .models.mbart import MBartConfig
Chan Woo Kim's avatar
Chan Woo Kim committed
3795
    from .models.mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig, MCTCTProcessor
3796
    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
3797
3798
    from .models.mmbt import MMBTConfig
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
3799
    from .models.mobilenet_v1 import MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV1Config
3800
    from .models.mobilenet_v2 import MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV2Config
3801
    from .models.mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig
3802
3803
    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
    from .models.mt5 import MT5Config
StevenTang1998's avatar
StevenTang1998 committed
3804
    from .models.mvp import MvpConfig, MvpTokenizer
3805
    from .models.nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
3806
    from .models.nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig
novice's avatar
novice committed
3807
    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
Jitesh Jain's avatar
Jitesh Jain committed
3808
    from .models.oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig, OneFormerProcessor
3809
    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
Younes Belkada's avatar
Younes Belkada committed
3810
    from .models.opt import OPTConfig
3811
3812
3813
3814
3815
3816
3817
    from .models.owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTProcessor,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
3818
    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
Jason Phang's avatar
Jason Phang committed
3819
    from .models.pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig
NielsRogge's avatar
NielsRogge committed
3820
    from .models.perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverTokenizer
3821
    from .models.phobert import PhobertTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3822
    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
Tanay Mehta's avatar
Tanay Mehta committed
3823
    from .models.poolformer import POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, PoolFormerConfig
3824
    from .models.prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig, ProphetNetTokenizer
3825
    from .models.qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
3826
    from .models.rag import RagConfig, RagRetriever, RagTokenizer
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
3827
    from .models.realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig, RealmTokenizer
3828
    from .models.reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
3829
    from .models.regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig
3830
    from .models.rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig
3831
    from .models.resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig
3832
3833
    from .models.retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig, RetriBertTokenizer
    from .models.roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaTokenizer
3834
3835
3836
3837
    from .models.roberta_prelayernorm import (
        ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        RobertaPreLayerNormConfig,
    )
Weiwe Shi's avatar
Weiwe Shi committed
3838
    from .models.roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig, RoCBertTokenizer
3839
    from .models.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
NielsRogge's avatar
NielsRogge committed
3840
    from .models.segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig
3841
3842
    from .models.sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig
    from .models.sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
3843
    from .models.speech_encoder_decoder import SpeechEncoderDecoderConfig
3844
3845
3846
3847
3848
    from .models.speech_to_text import (
        SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2TextConfig,
        Speech2TextProcessor,
    )
3849
3850
3851
3852
3853
3854
    from .models.speech_to_text_2 import (
        SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2Text2Config,
        Speech2Text2Processor,
        Speech2Text2Tokenizer,
    )
3855
3856
3857
3858
3859
    from .models.speecht5 import (
        SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
        SpeechT5Config,
        SpeechT5HifiGanConfig,
3860
        SpeechT5Processor,
3861
    )
Ori Ram's avatar
Ori Ram committed
3862
    from .models.splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig, SplinterTokenizer
3863
    from .models.squeezebert import SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, SqueezeBertConfig, SqueezeBertTokenizer
novice's avatar
novice committed
3864
    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
NielsRogge's avatar
NielsRogge committed
3865
    from .models.swin2sr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, Swin2SRConfig
3866
    from .models.swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config
3867
    from .models.switch_transformers import SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP, SwitchTransformersConfig
3868
    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
3869
    from .models.table_transformer import TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TableTransformerConfig
3870
    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
NielsRogge's avatar
NielsRogge committed
3871
    from .models.tapex import TapexTokenizer
3872
3873
3874
3875
    from .models.time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TimeSeriesTransformerConfig,
    )
3876
    from .models.timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig
Carl's avatar
Carl committed
3877
3878
3879
3880
    from .models.trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TrajectoryTransformerConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
3881
    from .models.transfo_xl import (
3882
3883
3884
3885
3886
        TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TransfoXLConfig,
        TransfoXLCorpus,
        TransfoXLTokenizer,
    )
3887
    from .models.trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig, TrOCRProcessor
3888
3889
    from .models.unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig
    from .models.unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig
NielsRogge's avatar
NielsRogge committed
3890
    from .models.upernet import UperNetConfig
3891
    from .models.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
NielsRogge's avatar
NielsRogge committed
3892
    from .models.videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig
amyeroberts's avatar
amyeroberts committed
3893
3894
3895
3896
3897
3898
3899
    from .models.vilt import (
        VILT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ViltConfig,
        ViltFeatureExtractor,
        ViltImageProcessor,
        ViltProcessor,
    )
3900
    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
Suraj Patil's avatar
Suraj Patil committed
3901
    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3902
    from .models.visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig
3903
    from .models.vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig
NielsRogge's avatar
NielsRogge committed
3904
    from .models.vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig
NielsRogge's avatar
NielsRogge committed
3905
    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
3906
    from .models.vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig
3907
3908
3909
3910
3911
3912
3913
3914
    from .models.wav2vec2 import (
        WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Wav2Vec2Config,
        Wav2Vec2CTCTokenizer,
        Wav2Vec2FeatureExtractor,
        Wav2Vec2Processor,
        Wav2Vec2Tokenizer,
    )
3915
    from .models.wav2vec2_conformer import WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig
3916
    from .models.wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
3917
    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
Patrick von Platen's avatar
Patrick von Platen committed
3918
    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
3919
3920
3921
3922
3923
3924
3925
    from .models.whisper import (
        WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        WhisperConfig,
        WhisperFeatureExtractor,
        WhisperProcessor,
        WhisperTokenizer,
    )
NielsRogge's avatar
NielsRogge committed
3926
3927
3928
3929
3930
3931
3932
    from .models.x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPProcessor,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
3933
    from .models.xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig
3934
3935
3936
    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
3937
    from .models.xlm_roberta_xl import XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaXLConfig
3938
    from .models.xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig
NielsRogge's avatar
NielsRogge committed
3939
    from .models.yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig
novice's avatar
novice committed
3940
    from .models.yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
3941
3942
3943

    # Pipelines
    from .pipelines import (
3944
        AudioClassificationPipeline,
3945
        AutomaticSpeechRecognitionPipeline,
3946
3947
3948
        Conversation,
        ConversationalPipeline,
        CsvPipelineDataFormat,
3949
        DepthEstimationPipeline,
3950
        DocumentQuestionAnsweringPipeline,
3951
3952
        FeatureExtractionPipeline,
        FillMaskPipeline,
3953
        ImageClassificationPipeline,
3954
        ImageSegmentationPipeline,
3955
        ImageToTextPipeline,
3956
3957
        JsonPipelineDataFormat,
        NerPipeline,
3958
        ObjectDetectionPipeline,
3959
3960
3961
3962
3963
3964
3965
3966
3967
3968
3969
        PipedPipelineDataFormat,
        Pipeline,
        PipelineDataFormat,
        QuestionAnsweringPipeline,
        SummarizationPipeline,
        TableQuestionAnsweringPipeline,
        Text2TextGenerationPipeline,
        TextClassificationPipeline,
        TextGenerationPipeline,
        TokenClassificationPipeline,
        TranslationPipeline,
3970
        VideoClassificationPipeline,
3971
        VisualQuestionAnsweringPipeline,
3972
        ZeroShotClassificationPipeline,
3973
        ZeroShotImageClassificationPipeline,
3974
        ZeroShotObjectDetectionPipeline,
3975
3976
        pipeline,
    )
3977
    from .processing_utils import ProcessorMixin
3978
3979
3980
3981
3982
3983
3984
3985
3986
3987
3988

    # Tokenization
    from .tokenization_utils import PreTrainedTokenizer
    from .tokenization_utils_base import (
        AddedToken,
        BatchEncoding,
        CharSpan,
        PreTrainedTokenizerBase,
        SpecialTokensMixin,
        TokenSpan,
    )
Lysandre's avatar
Lysandre committed
3989

Julien Plu's avatar
Julien Plu committed
3990
    # Trainer
3991
3992
3993
3994
3995
3996
3997
3998
3999
    from .trainer_callback import (
        DefaultFlowCallback,
        EarlyStoppingCallback,
        PrinterCallback,
        ProgressCallback,
        TrainerCallback,
        TrainerControl,
        TrainerState,
    )
4000
    from .trainer_utils import EvalPrediction, IntervalStrategy, SchedulerType, enable_full_determinism, set_seed
4001
4002
4003
    from .training_args import TrainingArguments
    from .training_args_seq2seq import Seq2SeqTrainingArguments
    from .training_args_tf import TFTrainingArguments
4004
4005
4006
4007
4008
4009
4010
4011
4012
4013
4014
4015
4016
4017
4018
4019
4020

    # Files and general utilities
    from .utils import (
        CONFIG_NAME,
        MODEL_CARD_NAME,
        PYTORCH_PRETRAINED_BERT_CACHE,
        PYTORCH_TRANSFORMERS_CACHE,
        SPIECE_UNDERLINE,
        TF2_WEIGHTS_NAME,
        TF_WEIGHTS_NAME,
        TRANSFORMERS_CACHE,
        WEIGHTS_NAME,
        TensorType,
        add_end_docstrings,
        add_start_docstrings,
        is_apex_available,
        is_datasets_available,
4021
        is_decord_available,
4022
4023
        is_faiss_available,
        is_flax_available,
Matt's avatar
Matt committed
4024
        is_keras_nlp_available,
4025
4026
4027
4028
        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
4029
        is_safetensors_available,
4030
4031
4032
4033
        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
4034
        is_tensorflow_text_available,
4035
4036
4037
4038
        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
4039
        is_torch_neuroncore_available,
4040
        is_torch_tpu_available,
NielsRogge's avatar
NielsRogge committed
4041
        is_torchvision_available,
4042
4043
4044
        is_vision_available,
        logging,
    )
Julien Plu's avatar
Julien Plu committed
4045

4046
4047
4048
4049
4050
4051
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_sentencepiece_objects import *
    else:
4052
4053
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
4054
        from .models.bartpho import BartphoTokenizer
4055
        from .models.bert_generation import BertGenerationTokenizer
4056
        from .models.big_bird import BigBirdTokenizer
4057
        from .models.camembert import CamembertTokenizer
4058
        from .models.cpm import CpmTokenizer
4059
        from .models.deberta_v2 import DebertaV2Tokenizer
4060
        from .models.fnet import FNetTokenizer
4061
        from .models.gpt_sw3 import GPTSw3Tokenizer
4062
        from .models.layoutxlm import LayoutXLMTokenizer
4063
        from .models.m2m_100 import M2M100Tokenizer
4064
        from .models.marian import MarianTokenizer
Suraj Patil's avatar
Suraj Patil committed
4065
        from .models.mbart import MBart50Tokenizer, MBartTokenizer
Ryokan RI's avatar
Ryokan RI committed
4066
        from .models.mluke import MLukeTokenizer
4067
        from .models.mt5 import MT5Tokenizer
Lysandre Debut's avatar
Lysandre Debut committed
4068
        from .models.nllb import NllbTokenizer
4069
        from .models.pegasus import PegasusTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4070
        from .models.plbart import PLBartTokenizer
4071
        from .models.reformer import ReformerTokenizer
4072
        from .models.rembert import RemBertTokenizer
4073
        from .models.speech_to_text import Speech2TextTokenizer
4074
        from .models.speecht5 import SpeechT5Tokenizer
4075
        from .models.t5 import T5Tokenizer
Suraj Patil's avatar
Suraj Patil committed
4076
        from .models.xglm import XGLMTokenizer
4077
4078
4079
        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
4080

4081
4082
4083
4084
4085
4086
4087
    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tokenizers_objects import *
    else:
        # Fast tokenizers imports
4088
4089
4090
4091
        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
4092
        from .models.big_bird import BigBirdTokenizerFast
4093
        from .models.blenderbot import BlenderbotTokenizerFast
4094
        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
Younes Belkada's avatar
Younes Belkada committed
4095
        from .models.bloom import BloomTokenizerFast
4096
        from .models.camembert import CamembertTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4097
        from .models.clip import CLIPTokenizerFast
rooa's avatar
rooa committed
4098
        from .models.codegen import CodeGenTokenizerFast
abhishek thakur's avatar
abhishek thakur committed
4099
        from .models.convbert import ConvBertTokenizerFast
4100
        from .models.cpm import CpmTokenizerFast
4101
        from .models.deberta import DebertaTokenizerFast
4102
        from .models.deberta_v2 import DebertaV2TokenizerFast
4103
4104
4105
        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4106
        from .models.fnet import FNetTokenizerFast
4107
4108
        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
4109
        from .models.gpt_neox import GPTNeoXTokenizerFast
4110
        from .models.gpt_neox_japanese import GPTNeoXJapaneseTokenizer
4111
4112
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
4113
        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
NielsRogge's avatar
NielsRogge committed
4114
        from .models.layoutlmv3 import LayoutLMv3TokenizerFast
4115
        from .models.layoutxlm import LayoutXLMTokenizerFast
4116
4117
4118
        from .models.led import LEDTokenizerFast
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
NielsRogge's avatar
NielsRogge committed
4119
        from .models.markuplm import MarkupLMTokenizerFast
4120
4121
        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
4122
4123
4124
        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
StevenTang1998's avatar
StevenTang1998 committed
4125
        from .models.mvp import MvpTokenizerFast
Lysandre Debut's avatar
Lysandre Debut committed
4126
        from .models.nllb import NllbTokenizerFast
4127
4128
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
4129
        from .models.realm import RealmTokenizerFast
4130
        from .models.reformer import ReformerTokenizerFast
4131
        from .models.rembert import RemBertTokenizerFast
4132
4133
        from .models.retribert import RetriBertTokenizerFast
        from .models.roberta import RobertaTokenizerFast
4134
        from .models.roformer import RoFormerTokenizerFast
Ori Ram's avatar
Ori Ram committed
4135
        from .models.splinter import SplinterTokenizerFast
4136
4137
        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4138
        from .models.xglm import XGLMTokenizerFast
4139
4140
4141
        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
4142

4143
4144
4145
4146
4147
    try:
        if not (is_sentencepiece_available() and is_tokenizers_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *
4148
    else:
4149
4150
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer

4151
4152
4153
4154
    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
4155
        from .utils.dummy_speech_objects import *
4156
    else:
4157
        from .models.audio_spectrogram_transformer import ASTFeatureExtractor
Chan Woo Kim's avatar
Chan Woo Kim committed
4158
        from .models.mctct import MCTCTFeatureExtractor
4159
        from .models.speech_to_text import Speech2TextFeatureExtractor
4160
        from .models.speecht5 import SpeechT5FeatureExtractor
4161

4162
4163
4164
4165
4166
4167
4168
4169
    try:
        if not is_tensorflow_text_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tensorflow_text_objects import *
    else:
        from .models.bert import TFBertTokenizer

4170
4171
4172
4173
4174
4175
4176
4177
    try:
        if not is_keras_nlp_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_keras_nlp_objects import *
    else:
        from .models.gpt2 import TFGPT2Tokenizer

4178
4179
4180
4181
4182
4183
    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_vision_objects import *
    else:
amyeroberts's avatar
amyeroberts committed
4184
        from .image_processing_utils import ImageProcessingMixin
4185
        from .image_utils import ImageFeatureExtractionMixin
amyeroberts's avatar
amyeroberts committed
4186
        from .models.beit import BeitFeatureExtractor, BeitImageProcessor
NielsRogge's avatar
NielsRogge committed
4187
        from .models.bit import BitImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4188
        from .models.blip import BlipImageProcessor
4189
        from .models.bridgetower import BridgeTowerImageProcessor
4190
        from .models.chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor
amyeroberts's avatar
amyeroberts committed
4191
        from .models.clip import CLIPFeatureExtractor, CLIPImageProcessor
4192
        from .models.conditional_detr import ConditionalDetrFeatureExtractor, ConditionalDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4193
        from .models.convnext import ConvNextFeatureExtractor, ConvNextImageProcessor
4194
        from .models.deformable_detr import DeformableDetrFeatureExtractor, DeformableDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4195
        from .models.deit import DeiTFeatureExtractor, DeiTImageProcessor
NielsRogge's avatar
NielsRogge committed
4196
        from .models.deta import DetaImageProcessor
4197
        from .models.detr import DetrFeatureExtractor, DetrImageProcessor
4198
        from .models.donut import DonutFeatureExtractor, DonutImageProcessor
amyeroberts's avatar
amyeroberts committed
4199
        from .models.dpt import DPTFeatureExtractor, DPTImageProcessor
4200
        from .models.efficientformer import EfficientFormerImageProcessor
amyeroberts's avatar
amyeroberts committed
4201
4202
4203
4204
4205
4206
        from .models.flava import FlavaFeatureExtractor, FlavaImageProcessor, FlavaProcessor
        from .models.glpn import GLPNFeatureExtractor, GLPNImageProcessor
        from .models.imagegpt import ImageGPTFeatureExtractor, ImageGPTImageProcessor
        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2ImageProcessor
        from .models.layoutlmv3 import LayoutLMv3FeatureExtractor, LayoutLMv3ImageProcessor
        from .models.levit import LevitFeatureExtractor, LevitImageProcessor
4207
        from .models.mask2former import Mask2FormerImageProcessor
4208
        from .models.maskformer import MaskFormerFeatureExtractor, MaskFormerImageProcessor
4209
        from .models.mobilenet_v1 import MobileNetV1FeatureExtractor, MobileNetV1ImageProcessor
4210
        from .models.mobilenet_v2 import MobileNetV2FeatureExtractor, MobileNetV2ImageProcessor
amyeroberts's avatar
amyeroberts committed
4211
        from .models.mobilevit import MobileViTFeatureExtractor, MobileViTImageProcessor
Jitesh Jain's avatar
Jitesh Jain committed
4212
        from .models.oneformer import OneFormerImageProcessor
4213
        from .models.owlvit import OwlViTFeatureExtractor, OwlViTImageProcessor
amyeroberts's avatar
amyeroberts committed
4214
4215
4216
        from .models.perceiver import PerceiverFeatureExtractor, PerceiverImageProcessor
        from .models.poolformer import PoolFormerFeatureExtractor, PoolFormerImageProcessor
        from .models.segformer import SegformerFeatureExtractor, SegformerImageProcessor
NielsRogge's avatar
NielsRogge committed
4217
        from .models.swin2sr import Swin2SRImageProcessor
amyeroberts's avatar
amyeroberts committed
4218
4219
4220
        from .models.videomae import VideoMAEFeatureExtractor, VideoMAEImageProcessor
        from .models.vilt import ViltFeatureExtractor, ViltImageProcessor, ViltProcessor
        from .models.vit import ViTFeatureExtractor, ViTImageProcessor
NielsRogge's avatar
NielsRogge committed
4221
        from .models.vit_hybrid import ViTHybridImageProcessor
4222
        from .models.yolos import YolosFeatureExtractor, YolosImageProcessor
4223

4224
    # Modeling
4225
4226
4227
4228
    try:
        if not (is_timm_available() and is_vision_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
NielsRogge's avatar
NielsRogge committed
4229
        from .utils.dummy_timm_and_vision_objects import *
4230
    else:
4231
4232
4233
4234
4235
4236
4237
        from .models.conditional_detr import (
            CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConditionalDetrForObjectDetection,
            ConditionalDetrForSegmentation,
            ConditionalDetrModel,
            ConditionalDetrPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4238
4239
4240
4241
4242
4243
        from .models.deformable_detr import (
            DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeformableDetrForObjectDetection,
            DeformableDetrModel,
            DeformableDetrPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4244
4245
4246
4247
4248
        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
4249
            DetrPreTrainedModel,
NielsRogge's avatar
NielsRogge committed
4250
        )
4251
4252
4253
4254
4255
4256
        from .models.table_transformer import (
            TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TableTransformerForObjectDetection,
            TableTransformerModel,
            TableTransformerPreTrainedModel,
        )
4257

4258
4259
4260
4261
4262
4263
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_pt_objects import *
    else:
4264
4265
4266
4267
4268
4269
4270
4271
4272
4273
4274
4275
4276
4277
        # 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,
        )
4278
4279
4280
4281
        from .generation import (
            BeamScorer,
            BeamSearchScorer,
            ConstrainedBeamSearchScorer,
4282
4283
4284
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
4285
4286
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
4287
            GenerationMixin,
4288
            HammingDiversityLogitsProcessor,
4289
            InfNanRemoveLogitsProcessor,
4290
4291
4292
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
4293
4294
            MaxLengthCriteria,
            MaxTimeCriteria,
4295
            MinLengthLogitsProcessor,
4296
            MinNewTokensLengthLogitsProcessor,
4297
4298
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
4299
            PhrasalConstraint,
4300
4301
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
4302
4303
            StoppingCriteria,
            StoppingCriteriaList,
4304
4305
4306
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
4307
            TypicalLogitsWarper,
4308
            top_k_top_p_filtering,
4309
        )
4310
        from .modeling_utils import PreTrainedModel
4311
4312

        # PyTorch model imports
4313
4314
4315
4316
4317
4318
4319
4320
4321
4322
4323
4324
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
Jongjyh's avatar
Jongjyh committed
4325
4326
4327
4328
4329
4330
4331
        from .models.altclip import (
            ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            AltCLIPModel,
            AltCLIPPreTrainedModel,
            AltCLIPTextModel,
            AltCLIPVisionModel,
        )
4332
4333
4334
4335
4336
4337
        from .models.audio_spectrogram_transformer import (
            AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ASTForAudioClassification,
            ASTModel,
            ASTPreTrainedModel,
        )
4338
        from .models.auto import (
4339
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
4340
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
4341
            MODEL_FOR_BACKBONE_MAPPING,
NielsRogge's avatar
NielsRogge committed
4342
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
4343
            MODEL_FOR_CAUSAL_LM_MAPPING,
4344
            MODEL_FOR_CTC_MAPPING,
4345
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
4346
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
4347
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
4348
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
4349
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4350
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
4351
4352
4353
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4354
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
4355
4356
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
4357
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
4358
4359
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
4360
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
4361
4362
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
4363
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
4364
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
4365
            MODEL_FOR_VISION_2_SEQ_MAPPING,
4366
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
4367
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
4368
4369
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
4370
            AutoBackbone,
4371
            AutoModel,
4372
            AutoModelForAudioClassification,
4373
4374
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
4375
            AutoModelForCausalLM,
4376
            AutoModelForCTC,
4377
            AutoModelForDepthEstimation,
4378
            AutoModelForDocumentQuestionAnswering,
4379
            AutoModelForImageClassification,
4380
            AutoModelForImageSegmentation,
4381
            AutoModelForInstanceSegmentation,
NielsRogge's avatar
NielsRogge committed
4382
            AutoModelForMaskedImageModeling,
4383
4384
4385
            AutoModelForMaskedLM,
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
4386
            AutoModelForObjectDetection,
4387
4388
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
4389
            AutoModelForSemanticSegmentation,
4390
4391
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
4392
            AutoModelForSpeechSeq2Seq,
4393
4394
            AutoModelForTableQuestionAnswering,
            AutoModelForTokenClassification,
4395
            AutoModelForUniversalSegmentation,
NielsRogge's avatar
NielsRogge committed
4396
            AutoModelForVideoClassification,
4397
            AutoModelForVision2Seq,
4398
            AutoModelForVisualQuestionAnswering,
4399
            AutoModelForZeroShotObjectDetection,
4400
4401
4402
4403
            AutoModelWithLMHead,
        )
        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
4404
            BartForCausalLM,
4405
4406
4407
4408
4409
4410
4411
            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
            BartPretrainedModel,
            PretrainedBartModel,
        )
NielsRogge's avatar
NielsRogge committed
4412
4413
4414
4415
        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
4416
            BeitForSemanticSegmentation,
NielsRogge's avatar
NielsRogge committed
4417
4418
4419
            BeitModel,
            BeitPreTrainedModel,
        )
4420
4421
4422
4423
4424
4425
4426
4427
4428
4429
4430
4431
4432
4433
4434
4435
4436
4437
        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,
4438
            BertGenerationPreTrainedModel,
4439
4440
            load_tf_weights_in_bert_generation,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
4441
4442
4443
4444
4445
4446
4447
4448
4449
4450
4451
4452
4453
4454
        from .models.big_bird import (
            BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdForCausalLM,
            BigBirdForMaskedLM,
            BigBirdForMultipleChoice,
            BigBirdForPreTraining,
            BigBirdForQuestionAnswering,
            BigBirdForSequenceClassification,
            BigBirdForTokenClassification,
            BigBirdLayer,
            BigBirdModel,
            BigBirdPreTrainedModel,
            load_tf_weights_in_big_bird,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
4455
4456
4457
4458
4459
4460
4461
        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
4462
            BigBirdPegasusPreTrainedModel,
Vasudev Gupta's avatar
Vasudev Gupta committed
4463
        )
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
4464
4465
4466
4467
4468
4469
        from .models.biogpt import (
            BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BioGptForCausalLM,
            BioGptModel,
            BioGptPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4470
4471
4472
4473
4474
4475
4476
        from .models.bit import (
            BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BitBackbone,
            BitForImageClassification,
            BitModel,
            BitPreTrainedModel,
        )
4477
4478
        from .models.blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
4479
            BlenderbotForCausalLM,
4480
4481
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
4482
            BlenderbotPreTrainedModel,
4483
4484
4485
        )
        from .models.blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
4486
            BlenderbotSmallForCausalLM,
4487
4488
            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
4489
            BlenderbotSmallPreTrainedModel,
4490
        )
Younes Belkada's avatar
Younes Belkada committed
4491
4492
4493
4494
4495
4496
4497
4498
4499
4500
        from .models.blip import (
            BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlipForConditionalGeneration,
            BlipForImageTextRetrieval,
            BlipForQuestionAnswering,
            BlipModel,
            BlipPreTrainedModel,
            BlipTextModel,
            BlipVisionModel,
        )
Younes Belkada's avatar
Younes Belkada committed
4501
4502
4503
        from .models.bloom import (
            BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
            BloomForCausalLM,
4504
            BloomForQuestionAnswering,
4505
4506
            BloomForSequenceClassification,
            BloomForTokenClassification,
Younes Belkada's avatar
Younes Belkada committed
4507
4508
4509
            BloomModel,
            BloomPreTrainedModel,
        )
4510
4511
4512
4513
4514
4515
4516
        from .models.bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )
4517
4518
4519
4520
4521
4522
4523
4524
4525
        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
4526
            CamembertPreTrainedModel,
4527
        )
NielsRogge's avatar
NielsRogge committed
4528
4529
4530
4531
4532
4533
4534
4535
4536
4537
4538
        from .models.canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )
4539
4540
4541
4542
4543
4544
4545
        from .models.chinese_clip import (
            CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ChineseCLIPModel,
            ChineseCLIPPreTrainedModel,
            ChineseCLIPTextModel,
            ChineseCLIPVisionModel,
        )
Suraj Patil's avatar
Suraj Patil committed
4546
4547
4548
4549
4550
        from .models.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
4551
            CLIPTextModelWithProjection,
Suraj Patil's avatar
Suraj Patil committed
4552
            CLIPVisionModel,
4553
            CLIPVisionModelWithProjection,
Suraj Patil's avatar
Suraj Patil committed
4554
        )
NielsRogge's avatar
NielsRogge committed
4555
4556
4557
4558
4559
4560
4561
4562
        from .models.clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )
rooa's avatar
rooa committed
4563
4564
4565
4566
4567
4568
        from .models.codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )
abhishek thakur's avatar
abhishek thakur committed
4569
4570
4571
4572
4573
4574
4575
4576
4577
4578
4579
4580
        from .models.convbert import (
            CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvBertForMaskedLM,
            ConvBertForMultipleChoice,
            ConvBertForQuestionAnswering,
            ConvBertForSequenceClassification,
            ConvBertForTokenClassification,
            ConvBertLayer,
            ConvBertModel,
            ConvBertPreTrainedModel,
            load_tf_weights_in_convbert,
        )
NielsRogge's avatar
NielsRogge committed
4581
4582
        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
4583
            ConvNextBackbone,
NielsRogge's avatar
NielsRogge committed
4584
4585
4586
4587
            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
4588
4589
4590
4591
4592
4593
4594
        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4595
4596
4597
4598
4599
4600
        from .models.cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )
4601
4602
4603
        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
4604
            DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
4605
4606
4607
4608
4609
4610
4611
4612
4613
4614
4615
4616
4617
4618
            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
4619
4620
4621
4622
            Data2VecVisionForImageClassification,
            Data2VecVisionForSemanticSegmentation,
            Data2VecVisionModel,
            Data2VecVisionPreTrainedModel,
4623
        )
4624
4625
        from .models.deberta import (
            DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
4626
4627
            DebertaForMaskedLM,
            DebertaForQuestionAnswering,
4628
            DebertaForSequenceClassification,
NielsRogge's avatar
NielsRogge committed
4629
            DebertaForTokenClassification,
4630
4631
4632
            DebertaModel,
            DebertaPreTrainedModel,
        )
4633
4634
4635
        from .models.deberta_v2 import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaV2ForMaskedLM,
4636
            DebertaV2ForMultipleChoice,
4637
4638
4639
4640
4641
4642
            DebertaV2ForQuestionAnswering,
            DebertaV2ForSequenceClassification,
            DebertaV2ForTokenClassification,
            DebertaV2Model,
            DebertaV2PreTrainedModel,
        )
4643
4644
4645
4646
4647
4648
4649
        from .models.decision_transformer import (
            DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DecisionTransformerGPT2Model,
            DecisionTransformerGPT2PreTrainedModel,
            DecisionTransformerModel,
            DecisionTransformerPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4650
4651
4652
4653
        from .models.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
NielsRogge's avatar
NielsRogge committed
4654
            DeiTForMaskedImageModeling,
NielsRogge's avatar
NielsRogge committed
4655
4656
4657
            DeiTModel,
            DeiTPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4658
4659
4660
4661
4662
4663
        from .models.deta import (
            DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetaForObjectDetection,
            DetaModel,
            DetaPreTrainedModel,
        )
4664
4665
        from .models.dinat import (
            DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
4666
            DinatBackbone,
4667
4668
4669
4670
            DinatForImageClassification,
            DinatModel,
            DinatPreTrainedModel,
        )
4671
4672
4673
4674
4675
4676
4677
4678
4679
4680
        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4681
        from .models.donut import DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST, DonutSwinModel, DonutSwinPreTrainedModel
4682
4683
4684
4685
4686
4687
        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,
4688
            DPRPreTrainedModel,
4689
4690
4691
4692
4693
            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )
NielsRogge's avatar
NielsRogge committed
4694
4695
4696
4697
4698
4699
4700
        from .models.dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )
4701
4702
4703
4704
4705
4706
4707
        from .models.efficientformer import (
            EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientFormerForImageClassification,
            EfficientFormerForImageClassificationWithTeacher,
            EfficientFormerModel,
            EfficientFormerPreTrainedModel,
        )
4708
4709
        from .models.electra import (
            ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
4710
            ElectraForCausalLM,
4711
4712
4713
4714
4715
4716
4717
4718
4719
4720
4721
            ElectraForMaskedLM,
            ElectraForMultipleChoice,
            ElectraForPreTraining,
            ElectraForQuestionAnswering,
            ElectraForSequenceClassification,
            ElectraForTokenClassification,
            ElectraModel,
            ElectraPreTrainedModel,
            load_tf_weights_in_electra,
        )
        from .models.encoder_decoder import EncoderDecoderModel
4722
4723
4724
4725
4726
4727
4728
4729
4730
4731
4732
4733
4734
        from .models.ernie import (
            ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieForCausalLM,
            ErnieForMaskedLM,
            ErnieForMultipleChoice,
            ErnieForNextSentencePrediction,
            ErnieForPreTraining,
            ErnieForQuestionAnswering,
            ErnieForSequenceClassification,
            ErnieForTokenClassification,
            ErnieModel,
            ErniePreTrainedModel,
        )
4735
4736
        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
Matt's avatar
Matt committed
4737
            EsmFoldPreTrainedModel,
4738
            EsmForMaskedLM,
Matt's avatar
Matt committed
4739
            EsmForProteinFolding,
4740
4741
4742
4743
4744
            EsmForSequenceClassification,
            EsmForTokenClassification,
            EsmModel,
            EsmPreTrainedModel,
        )
4745
4746
4747
4748
4749
4750
4751
4752
        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
4753
            FlaubertPreTrainedModel,
4754
4755
            FlaubertWithLMHeadModel,
        )
4756
4757
4758
4759
4760
4761
4762
4763
4764
4765
        from .models.flava import (
            FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlavaForPreTraining,
            FlavaImageCodebook,
            FlavaImageModel,
            FlavaModel,
            FlavaMultimodalModel,
            FlavaPreTrainedModel,
            FlavaTextModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4766
4767
4768
4769
4770
4771
4772
4773
4774
4775
4776
4777
4778
        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
4779
4780
4781
4782
4783
4784
4785
4786
4787
4788
4789
        from .models.fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel
        from .models.funnel import (
            FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            FunnelBaseModel,
            FunnelForMaskedLM,
            FunnelForMultipleChoice,
            FunnelForPreTraining,
            FunnelForQuestionAnswering,
            FunnelForSequenceClassification,
            FunnelForTokenClassification,
            FunnelModel,
4790
            FunnelPreTrainedModel,
4791
4792
            load_tf_weights_in_funnel,
        )
4793
4794
4795
4796
4797
4798
4799
        from .models.git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )
NielsRogge's avatar
NielsRogge committed
4800
4801
4802
4803
4804
4805
        from .models.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
4806
4807
4808
4809
        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
            GPT2ForSequenceClassification,
4810
            GPT2ForTokenClassification,
4811
4812
4813
4814
4815
            GPT2LMHeadModel,
            GPT2Model,
            GPT2PreTrainedModel,
            load_tf_weights_in_gpt2,
        )
Suraj Patil's avatar
Suraj Patil committed
4816
4817
4818
        from .models.gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
4819
            GPTNeoForSequenceClassification,
Suraj Patil's avatar
Suraj Patil committed
4820
4821
4822
4823
            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
4824
4825
4826
4827
4828
4829
4830
        from .models.gpt_neox import (
            GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXForCausalLM,
            GPTNeoXLayer,
            GPTNeoXModel,
            GPTNeoXPreTrainedModel,
        )
4831
4832
4833
4834
4835
4836
4837
        from .models.gpt_neox_japanese import (
            GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXJapaneseForCausalLM,
            GPTNeoXJapaneseLayer,
            GPTNeoXJapaneseModel,
            GPTNeoXJapanesePreTrainedModel,
        )
Stella Biderman's avatar
Stella Biderman committed
4838
4839
4840
        from .models.gptj import (
            GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTJForCausalLM,
4841
            GPTJForQuestionAnswering,
Stella Biderman's avatar
Stella Biderman committed
4842
4843
4844
4845
            GPTJForSequenceClassification,
            GPTJModel,
            GPTJPreTrainedModel,
        )
4846
4847
4848
4849
4850
4851
        from .models.graphormer import (
            GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            GraphormerForGraphClassification,
            GraphormerModel,
            GraphormerPreTrainedModel,
        )
4852
4853
4854
4855
4856
4857
4858
        from .models.groupvit import (
            GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GroupViTModel,
            GroupViTPreTrainedModel,
            GroupViTTextModel,
            GroupViTVisionModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
4859
4860
4861
        from .models.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
4862
            HubertForSequenceClassification,
Patrick von Platen's avatar
Patrick von Platen committed
4863
4864
4865
            HubertModel,
            HubertPreTrainedModel,
        )
Sehoon Kim's avatar
Sehoon Kim committed
4866
4867
4868
4869
4870
4871
4872
4873
        from .models.ibert import (
            IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            IBertForMaskedLM,
            IBertForMultipleChoice,
            IBertForQuestionAnswering,
            IBertForSequenceClassification,
            IBertForTokenClassification,
            IBertModel,
4874
            IBertPreTrainedModel,
Sehoon Kim's avatar
Sehoon Kim committed
4875
        )
NielsRogge's avatar
NielsRogge committed
4876
4877
        from .models.imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
4878
            ImageGPTForCausalImageModeling,
NielsRogge's avatar
NielsRogge committed
4879
4880
4881
4882
4883
            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )
4884
4885
4886
4887
4888
4889
4890
        from .models.jukebox import (
            JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            JukeboxModel,
            JukeboxPreTrainedModel,
            JukeboxPrior,
            JukeboxVQVAE,
        )
4891
4892
4893
        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
4894
            LayoutLMForQuestionAnswering,
NielsRogge's avatar
NielsRogge committed
4895
            LayoutLMForSequenceClassification,
4896
4897
            LayoutLMForTokenClassification,
            LayoutLMModel,
4898
            LayoutLMPreTrainedModel,
4899
        )
4900
4901
4902
4903
4904
4905
4906
        from .models.layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
NielsRogge's avatar
NielsRogge committed
4907
4908
4909
4910
4911
4912
4913
4914
        )
        from .models.layoutlmv3 import (
            LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv3ForQuestionAnswering,
            LayoutLMv3ForSequenceClassification,
            LayoutLMv3ForTokenClassification,
            LayoutLMv3Model,
            LayoutLMv3PreTrainedModel,
4915
        )
4916
4917
4918
4919
4920
4921
        from .models.led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
4922
            LEDPreTrainedModel,
4923
        )
4924
4925
4926
4927
4928
4929
4930
        from .models.levit import (
            LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4931
4932
4933
4934
4935
4936
4937
4938
        from .models.lilt import (
            LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LiltForQuestionAnswering,
            LiltForSequenceClassification,
            LiltForTokenClassification,
            LiltModel,
            LiltPreTrainedModel,
        )
4939
4940
4941
4942
4943
4944
4945
4946
        from .models.longformer import (
            LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
            LongformerModel,
4947
            LongformerPreTrainedModel,
4948
4949
            LongformerSelfAttention,
        )
Daniel Stancl's avatar
Daniel Stancl committed
4950
4951
4952
4953
4954
4955
4956
        from .models.longt5 import (
            LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongT5EncoderModel,
            LongT5ForConditionalGeneration,
            LongT5Model,
            LongT5PreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4957
4958
4959
4960
4961
        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
Ryokan RI's avatar
Ryokan RI committed
4962
            LukeForMaskedLM,
4963
4964
4965
4966
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
NielsRogge's avatar
NielsRogge committed
4967
4968
4969
            LukeModel,
            LukePreTrainedModel,
        )
4970
4971
4972
4973
4974
4975
4976
4977
4978
        from .models.lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )
4979
4980
4981
4982
4983
4984
        from .models.m2m_100 import (
            M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
            M2M100ForConditionalGeneration,
            M2M100Model,
            M2M100PreTrainedModel,
        )
4985
        from .models.marian import MarianForCausalLM, MarianModel, MarianMTModel
NielsRogge's avatar
NielsRogge committed
4986
4987
4988
4989
4990
4991
4992
4993
        from .models.markuplm import (
            MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarkupLMForQuestionAnswering,
            MarkupLMForSequenceClassification,
            MarkupLMForTokenClassification,
            MarkupLMModel,
            MarkupLMPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
4994
4995
4996
4997
4998
4999
        from .models.mask2former import (
            MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Mask2FormerForUniversalSegmentation,
            Mask2FormerModel,
            Mask2FormerPreTrainedModel,
        )
5000
5001
5002
5003
5004
        from .models.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
5005
            MaskFormerSwinBackbone,
5006
        )
5007
        from .models.mbart import (
5008
            MBartForCausalLM,
5009
5010
5011
5012
            MBartForConditionalGeneration,
            MBartForQuestionAnswering,
            MBartForSequenceClassification,
            MBartModel,
5013
            MBartPreTrainedModel,
5014
        )
Chan Woo Kim's avatar
Chan Woo Kim committed
5015
        from .models.mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel
5016
5017
5018
5019
5020
5021
5022
5023
5024
5025
5026
        from .models.megatron_bert import (
            MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegatronBertForCausalLM,
            MegatronBertForMaskedLM,
            MegatronBertForMultipleChoice,
            MegatronBertForNextSentencePrediction,
            MegatronBertForPreTraining,
            MegatronBertForQuestionAnswering,
            MegatronBertForSequenceClassification,
            MegatronBertForTokenClassification,
            MegatronBertModel,
5027
            MegatronBertPreTrainedModel,
5028
        )
5029
5030
5031
5032
5033
5034
5035
5036
5037
5038
5039
5040
5041
5042
5043
        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,
        )
5044
5045
5046
5047
5048
5049
5050
        from .models.mobilenet_v1 import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV1ForImageClassification,
            MobileNetV1Model,
            MobileNetV1PreTrainedModel,
            load_tf_weights_in_mobilenet_v1,
        )
5051
5052
5053
5054
5055
5056
5057
5058
        from .models.mobilenet_v2 import (
            MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV2ForImageClassification,
            MobileNetV2ForSemanticSegmentation,
            MobileNetV2Model,
            MobileNetV2PreTrainedModel,
            load_tf_weights_in_mobilenet_v2,
        )
5059
5060
5061
5062
5063
5064
5065
        from .models.mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )
5066
5067
5068
5069
5070
5071
5072
5073
5074
5075
5076
        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
5077
        from .models.mt5 import MT5EncoderModel, MT5ForConditionalGeneration, MT5Model, MT5PreTrainedModel
StevenTang1998's avatar
StevenTang1998 committed
5078
5079
5080
5081
5082
5083
5084
5085
5086
        from .models.mvp import (
            MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
            MvpForCausalLM,
            MvpForConditionalGeneration,
            MvpForQuestionAnswering,
            MvpForSequenceClassification,
            MvpModel,
            MvpPreTrainedModel,
        )
5087
5088
        from .models.nat import (
            NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
5089
            NatBackbone,
5090
5091
5092
5093
            NatForImageClassification,
            NatModel,
            NatPreTrainedModel,
        )
5094
5095
5096
5097
5098
5099
5100
5101
5102
5103
5104
5105
        from .models.nezha import (
            NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
            NezhaForMaskedLM,
            NezhaForMultipleChoice,
            NezhaForNextSentencePrediction,
            NezhaForPreTraining,
            NezhaForQuestionAnswering,
            NezhaForSequenceClassification,
            NezhaForTokenClassification,
            NezhaModel,
            NezhaPreTrainedModel,
        )
novice's avatar
novice committed
5106
5107
5108
5109
5110
5111
5112
5113
5114
5115
5116
        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
Jitesh Jain's avatar
Jitesh Jain committed
5117
5118
5119
5120
5121
5122
        from .models.oneformer import (
            ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            OneFormerForUniversalSegmentation,
            OneFormerModel,
            OneFormerPreTrainedModel,
        )
5123
5124
5125
5126
5127
5128
5129
5130
5131
        from .models.openai import (
            OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OpenAIGPTDoubleHeadsModel,
            OpenAIGPTForSequenceClassification,
            OpenAIGPTLMHeadModel,
            OpenAIGPTModel,
            OpenAIGPTPreTrainedModel,
            load_tf_weights_in_openai_gpt,
        )
5132
5133
5134
        from .models.opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
5135
            OPTForQuestionAnswering,
5136
5137
5138
5139
            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )
5140
5141
5142
5143
5144
5145
5146
5147
        from .models.owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )
5148
5149
5150
5151
5152
5153
        from .models.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
Jason Phang's avatar
Jason Phang committed
5154
5155
5156
5157
5158
5159
        from .models.pegasus_x import (
            PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusXForConditionalGeneration,
            PegasusXModel,
            PegasusXPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5160
5161
5162
5163
5164
5165
5166
5167
5168
5169
5170
5171
5172
        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
5173
5174
5175
5176
5177
5178
5179
5180
        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
Tanay Mehta's avatar
Tanay Mehta committed
5181
5182
5183
5184
5185
5186
        from .models.poolformer import (
            POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PoolFormerForImageClassification,
            PoolFormerModel,
            PoolFormerPreTrainedModel,
        )
5187
5188
5189
5190
5191
5192
5193
5194
5195
        from .models.prophetnet import (
            PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ProphetNetDecoder,
            ProphetNetEncoder,
            ProphetNetForCausalLM,
            ProphetNetForConditionalGeneration,
            ProphetNetModel,
            ProphetNetPreTrainedModel,
        )
5196
5197
5198
5199
5200
5201
5202
5203
5204
5205
5206
5207
5208
5209
        from .models.qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )
5210
        from .models.rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
5211
5212
5213
5214
5215
5216
5217
5218
5219
5220
5221
        from .models.realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmRetriever,
            RealmScorer,
            load_tf_weights_in_realm,
        )
5222
5223
5224
5225
5226
5227
5228
5229
5230
        from .models.reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
5231
            ReformerPreTrainedModel,
5232
        )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
5233
5234
5235
5236
5237
5238
        from .models.regnet import (
            REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            RegNetForImageClassification,
            RegNetModel,
            RegNetPreTrainedModel,
        )
5239
5240
5241
5242
5243
5244
5245
5246
5247
5248
5249
5250
5251
        from .models.rembert import (
            REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RemBertForCausalLM,
            RemBertForMaskedLM,
            RemBertForMultipleChoice,
            RemBertForQuestionAnswering,
            RemBertForSequenceClassification,
            RemBertForTokenClassification,
            RemBertLayer,
            RemBertModel,
            RemBertPreTrainedModel,
            load_tf_weights_in_rembert,
        )
5252
5253
        from .models.resnet import (
            RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
5254
            ResNetBackbone,
5255
5256
5257
5258
            ResNetForImageClassification,
            ResNetModel,
            ResNetPreTrainedModel,
        )
5259
5260
5261
5262
5263
5264
5265
5266
5267
5268
        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,
5269
            RobertaPreTrainedModel,
5270
        )
5271
5272
5273
5274
5275
5276
5277
5278
5279
5280
5281
        from .models.roberta_prelayernorm import (
            ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaPreLayerNormForCausalLM,
            RobertaPreLayerNormForMaskedLM,
            RobertaPreLayerNormForMultipleChoice,
            RobertaPreLayerNormForQuestionAnswering,
            RobertaPreLayerNormForSequenceClassification,
            RobertaPreLayerNormForTokenClassification,
            RobertaPreLayerNormModel,
            RobertaPreLayerNormPreTrainedModel,
        )
Weiwe Shi's avatar
Weiwe Shi committed
5282
5283
5284
5285
5286
5287
5288
5289
5290
5291
5292
5293
5294
5295
        from .models.roc_bert import (
            ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoCBertForCausalLM,
            RoCBertForMaskedLM,
            RoCBertForMultipleChoice,
            RoCBertForPreTraining,
            RoCBertForQuestionAnswering,
            RoCBertForSequenceClassification,
            RoCBertForTokenClassification,
            RoCBertLayer,
            RoCBertModel,
            RoCBertPreTrainedModel,
            load_tf_weights_in_roc_bert,
        )
5296
5297
5298
5299
5300
5301
5302
5303
5304
5305
5306
5307
5308
        from .models.roformer import (
            ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoFormerForCausalLM,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
            RoFormerLayer,
            RoFormerModel,
            RoFormerPreTrainedModel,
            load_tf_weights_in_roformer,
        )
NielsRogge's avatar
NielsRogge committed
5309
5310
5311
5312
5313
5314
5315
5316
5317
        from .models.segformer import (
            SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SegformerDecodeHead,
            SegformerForImageClassification,
            SegformerForSemanticSegmentation,
            SegformerLayer,
            SegformerModel,
            SegformerPreTrainedModel,
        )
5318
5319
5320
5321
5322
5323
5324
5325
5326
5327
5328
5329
5330
5331
        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,
        )
5332
        from .models.speech_encoder_decoder import SpeechEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
5333
5334
5335
5336
        from .models.speech_to_text import (
            SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Speech2TextForConditionalGeneration,
            Speech2TextModel,
5337
            Speech2TextPreTrainedModel,
Suraj Patil's avatar
Suraj Patil committed
5338
        )
5339
        from .models.speech_to_text_2 import Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel
5340
5341
5342
5343
5344
5345
5346
5347
5348
        from .models.speecht5 import (
            SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            SpeechT5ForSpeechToSpeech,
            SpeechT5ForSpeechToText,
            SpeechT5ForTextToSpeech,
            SpeechT5HifiGan,
            SpeechT5Model,
            SpeechT5PreTrainedModel,
        )
Ori Ram's avatar
Ori Ram committed
5349
5350
        from .models.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
5351
            SplinterForPreTraining,
Ori Ram's avatar
Ori Ram committed
5352
5353
5354
5355
5356
            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )
5357
5358
5359
5360
5361
5362
5363
5364
5365
5366
5367
        from .models.squeezebert import (
            SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            SqueezeBertForMaskedLM,
            SqueezeBertForMultipleChoice,
            SqueezeBertForQuestionAnswering,
            SqueezeBertForSequenceClassification,
            SqueezeBertForTokenClassification,
            SqueezeBertModel,
            SqueezeBertModule,
            SqueezeBertPreTrainedModel,
        )
novice's avatar
novice committed
5368
5369
        from .models.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
5370
            SwinBackbone,
novice's avatar
novice committed
5371
            SwinForImageClassification,
NielsRogge's avatar
NielsRogge committed
5372
            SwinForMaskedImageModeling,
novice's avatar
novice committed
5373
5374
5375
            SwinModel,
            SwinPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5376
5377
5378
5379
5380
5381
        from .models.swin2sr import (
            SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swin2SRForImageSuperResolution,
            Swin2SRModel,
            Swin2SRPreTrainedModel,
        )
5382
5383
5384
5385
5386
5387
5388
        from .models.swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )
5389
5390
5391
5392
5393
5394
5395
5396
5397
        from .models.switch_transformers import (
            SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwitchTransformersEncoderModel,
            SwitchTransformersForConditionalGeneration,
            SwitchTransformersModel,
            SwitchTransformersPreTrainedModel,
            SwitchTransformersSparseMLP,
            SwitchTransformersTop1Router,
        )
5398
5399
5400
5401
5402
5403
5404
5405
        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
5406
5407
5408
5409
5410
5411
5412
5413
5414
        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )
5415
5416
5417
5418
5419
5420
        from .models.time_series_transformer import (
            TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimeSeriesTransformerForPrediction,
            TimeSeriesTransformerModel,
            TimeSeriesTransformerPreTrainedModel,
        )
5421
5422
5423
5424
5425
5426
        from .models.timesformer import (
            TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimesformerForVideoClassification,
            TimesformerModel,
            TimesformerPreTrainedModel,
        )
Carl's avatar
Carl committed
5427
5428
5429
5430
5431
        from .models.trajectory_transformer import (
            TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TrajectoryTransformerModel,
            TrajectoryTransformerPreTrainedModel,
        )
5432
5433
5434
5435
5436
5437
5438
5439
5440
        from .models.transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )
5441
        from .models.trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel
5442
5443
5444
5445
5446
5447
5448
5449
5450
5451
        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,
5452
            UniSpeechSatForAudioFrameClassification,
5453
5454
5455
            UniSpeechSatForCTC,
            UniSpeechSatForPreTraining,
            UniSpeechSatForSequenceClassification,
5456
            UniSpeechSatForXVector,
5457
5458
5459
            UniSpeechSatModel,
            UniSpeechSatPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5460
        from .models.upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel
5461
5462
5463
5464
5465
5466
        from .models.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5467
5468
5469
5470
5471
5472
5473
        from .models.videomae import (
            VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            VideoMAEForPreTraining,
            VideoMAEForVideoClassification,
            VideoMAEModel,
            VideoMAEPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5474
5475
5476
5477
5478
5479
        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
5480
            ViltForTokenClassification,
NielsRogge's avatar
NielsRogge committed
5481
5482
5483
5484
            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )
5485
        from .models.vision_encoder_decoder import VisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
5486
        from .models.vision_text_dual_encoder import VisionTextDualEncoderModel
5487
        from .models.visual_bert import (
Gunjan Chhablani's avatar
Gunjan Chhablani committed
5488
5489
5490
5491
5492
5493
5494
5495
5496
5497
            VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VisualBertForMultipleChoice,
            VisualBertForPreTraining,
            VisualBertForQuestionAnswering,
            VisualBertForRegionToPhraseAlignment,
            VisualBertForVisualReasoning,
            VisualBertLayer,
            VisualBertModel,
            VisualBertPreTrainedModel,
        )
5498
5499
5500
        from .models.vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
NielsRogge's avatar
NielsRogge committed
5501
            ViTForMaskedImageModeling,
5502
5503
5504
            ViTModel,
            ViTPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5505
5506
5507
5508
5509
5510
        from .models.vit_hybrid import (
            VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTHybridForImageClassification,
            ViTHybridModel,
            ViTHybridPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5511
5512
5513
5514
5515
5516
5517
        from .models.vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
5518
5519
5520
5521
5522
5523
        from .models.vit_msn import (
            VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMSNForImageClassification,
            ViTMSNModel,
            ViTMSNPreTrainedModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
5524
5525
        from .models.wav2vec2 import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
5526
            Wav2Vec2ForAudioFrameClassification,
5527
            Wav2Vec2ForCTC,
Patrick von Platen's avatar
Patrick von Platen committed
5528
            Wav2Vec2ForMaskedLM,
Anton Lozhkov's avatar
Anton Lozhkov committed
5529
            Wav2Vec2ForPreTraining,
5530
            Wav2Vec2ForSequenceClassification,
5531
            Wav2Vec2ForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
5532
5533
5534
            Wav2Vec2Model,
            Wav2Vec2PreTrainedModel,
        )
5535
5536
5537
5538
5539
5540
5541
5542
5543
5544
        from .models.wav2vec2_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Wav2Vec2ConformerForAudioFrameClassification,
            Wav2Vec2ConformerForCTC,
            Wav2Vec2ConformerForPreTraining,
            Wav2Vec2ConformerForSequenceClassification,
            Wav2Vec2ConformerForXVector,
            Wav2Vec2ConformerModel,
            Wav2Vec2ConformerPreTrainedModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
5545
5546
        from .models.wavlm import (
            WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
5547
            WavLMForAudioFrameClassification,
Patrick von Platen's avatar
Patrick von Platen committed
5548
5549
            WavLMForCTC,
            WavLMForSequenceClassification,
5550
            WavLMForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
5551
5552
5553
            WavLMModel,
            WavLMPreTrainedModel,
        )
5554
5555
5556
5557
5558
5559
        from .models.whisper import (
            WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
            WhisperForConditionalGeneration,
            WhisperModel,
            WhisperPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5560
5561
5562
5563
5564
5565
5566
        from .models.x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )
Suraj Patil's avatar
Suraj Patil committed
5567
        from .models.xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel
5568
5569
5570
5571
5572
5573
5574
5575
5576
5577
5578
5579
5580
5581
5582
5583
5584
5585
        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,
5586
            XLMProphetNetPreTrainedModel,
5587
5588
5589
5590
5591
5592
5593
5594
5595
5596
        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
5597
            XLMRobertaPreTrainedModel,
5598
        )
5599
5600
5601
5602
5603
5604
5605
5606
5607
5608
5609
        from .models.xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )
5610
5611
5612
5613
5614
5615
5616
5617
5618
5619
5620
5621
        from .models.xlnet import (
            XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLNetForMultipleChoice,
            XLNetForQuestionAnswering,
            XLNetForQuestionAnsweringSimple,
            XLNetForSequenceClassification,
            XLNetForTokenClassification,
            XLNetLMHeadModel,
            XLNetModel,
            XLNetPreTrainedModel,
            load_tf_weights_in_xlnet,
        )
NielsRogge's avatar
NielsRogge committed
5622
5623
5624
5625
5626
5627
        from .models.yolos import (
            YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
            YolosForObjectDetection,
            YolosModel,
            YolosPreTrainedModel,
        )
novice's avatar
novice committed
5628
5629
5630
5631
5632
5633
5634
5635
5636
5637
5638
        from .models.yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )
5639
5640
5641
5642
5643
5644
5645
5646
5647

        # 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,
5648
            get_inverse_sqrt_schedule,
5649
5650
5651
5652
            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )
5653
        from .pytorch_utils import Conv1D, apply_chunking_to_forward, prune_layer
5654
5655
5656
5657
5658
5659
5660

        # Trainer
        from .trainer import Trainer
        from .trainer_pt_utils import torch_distributed_zero_first
        from .trainer_seq2seq import Seq2SeqTrainer

    # TensorFlow
5661
5662
5663
5664
5665
5666
5667
5668
    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        # Import the same objects as dummies to get them in the namespace.
        # They will raise an import error if the user tries to instantiate / use them.
        from .utils.dummy_tf_objects import *
    else:
5669
5670
5671
5672
        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
5673
        from .generation import (
5674
5675
            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
5676
            TFGenerationMixin,
5677
5678
            TFLogitsProcessor,
            TFLogitsProcessorList,
5679
            TFLogitsWarper,
5680
5681
5682
5683
            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
5684
5685
5686
            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
5687
            tf_top_k_top_p_filtering,
5688
        )
5689
        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
Amir Tahmasbi's avatar
Amir Tahmasbi committed
5690
5691
5692
        from .modeling_tf_layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
5693
            TFLayoutLMForQuestionAnswering,
Amir Tahmasbi's avatar
Amir Tahmasbi committed
5694
5695
5696
5697
5698
5699
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
5700
        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
5701
5702

        # TensorFlow model imports
5703
5704
5705
5706
5707
5708
5709
5710
5711
5712
5713
5714
5715
5716
        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,
5717
            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
Yih-Dar's avatar
Yih-Dar committed
5718
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
5719
            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
5720
5721
5722
5723
5724
            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,
5725
            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
5726
5727
            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
Joao Gante's avatar
Joao Gante committed
5728
            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
Kamal Raj's avatar
Kamal Raj committed
5729
            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
5730
            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
5731
            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
5732
5733
5734
5735
            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForCausalLM,
5736
            TFAutoModelForDocumentQuestionAnswering,
Yih-Dar's avatar
Yih-Dar committed
5737
            TFAutoModelForImageClassification,
5738
5739
            TFAutoModelForMaskedLM,
            TFAutoModelForMultipleChoice,
5740
            TFAutoModelForNextSentencePrediction,
5741
5742
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
5743
            TFAutoModelForSemanticSegmentation,
5744
5745
            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
Joao Gante's avatar
Joao Gante committed
5746
            TFAutoModelForSpeechSeq2Seq,
Kamal Raj's avatar
Kamal Raj committed
5747
            TFAutoModelForTableQuestionAnswering,
5748
            TFAutoModelForTokenClassification,
5749
            TFAutoModelForVision2Seq,
5750
5751
            TFAutoModelWithLMHead,
        )
5752
5753
5754
5755
5756
5757
        from .models.bart import (
            TFBartForConditionalGeneration,
            TFBartForSequenceClassification,
            TFBartModel,
            TFBartPretrainedModel,
        )
5758
5759
5760
5761
5762
5763
5764
5765
5766
5767
5768
5769
5770
5771
5772
        from .models.bert import (
            TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBertEmbeddings,
            TFBertForMaskedLM,
            TFBertForMultipleChoice,
            TFBertForNextSentencePrediction,
            TFBertForPreTraining,
            TFBertForQuestionAnswering,
            TFBertForSequenceClassification,
            TFBertForTokenClassification,
            TFBertLMHeadModel,
            TFBertMainLayer,
            TFBertModel,
            TFBertPreTrainedModel,
        )
5773
5774
5775
5776
5777
5778
5779
5780
5781
5782
        from .models.blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )
        from .models.blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )
5783
5784
        from .models.camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
5785
            TFCamembertForCausalLM,
5786
5787
5788
5789
5790
5791
            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
5792
            TFCamembertPreTrainedModel,
5793
        )
Yih-Dar's avatar
Yih-Dar committed
5794
5795
5796
5797
5798
5799
5800
        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
abhishek thakur's avatar
abhishek thakur committed
5801
5802
5803
5804
5805
5806
5807
5808
5809
5810
5811
        from .models.convbert import (
            TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFConvBertForMaskedLM,
            TFConvBertForMultipleChoice,
            TFConvBertForQuestionAnswering,
            TFConvBertForSequenceClassification,
            TFConvBertForTokenClassification,
            TFConvBertLayer,
            TFConvBertModel,
            TFConvBertPreTrainedModel,
        )
Sayak Paul's avatar
Sayak Paul committed
5812
        from .models.convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel
5813
5814
5815
5816
5817
5818
5819
        from .models.ctrl import (
            TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCTRLForSequenceClassification,
            TFCTRLLMHeadModel,
            TFCTRLModel,
            TFCTRLPreTrainedModel,
        )
5820
5821
5822
5823
5824
5825
        from .models.cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )
5826
5827
        from .models.data2vec import (
            TFData2VecVisionForImageClassification,
5828
            TFData2VecVisionForSemanticSegmentation,
5829
5830
5831
            TFData2VecVisionModel,
            TFData2VecVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
5832
5833
5834
5835
5836
5837
5838
5839
5840
        from .models.deberta import (
            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaForMaskedLM,
            TFDebertaForQuestionAnswering,
            TFDebertaForSequenceClassification,
            TFDebertaForTokenClassification,
            TFDebertaModel,
            TFDebertaPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
5841
5842
5843
5844
5845
5846
5847
5848
5849
        from .models.deberta_v2 import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaV2ForMaskedLM,
            TFDebertaV2ForQuestionAnswering,
            TFDebertaV2ForSequenceClassification,
            TFDebertaV2ForTokenClassification,
            TFDebertaV2Model,
            TFDebertaV2PreTrainedModel,
        )
5850
5851
5852
5853
5854
5855
5856
5857
        from .models.deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )
5858
5859
5860
5861
5862
5863
5864
5865
5866
5867
5868
5869
5870
5871
5872
5873
5874
5875
5876
5877
5878
5879
5880
5881
5882
5883
5884
5885
5886
5887
5888
5889
5890
        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,
        )
5891
        from .models.encoder_decoder import TFEncoderDecoderModel
Matt's avatar
Matt committed
5892
5893
5894
5895
5896
5897
5898
5899
        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEsmForMaskedLM,
            TFEsmForSequenceClassification,
            TFEsmForTokenClassification,
            TFEsmModel,
            TFEsmPreTrainedModel,
        )
5900
5901
5902
5903
5904
5905
5906
        from .models.flaubert import (
            TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFlaubertForMultipleChoice,
            TFFlaubertForQuestionAnsweringSimple,
            TFFlaubertForSequenceClassification,
            TFFlaubertForTokenClassification,
            TFFlaubertModel,
5907
            TFFlaubertPreTrainedModel,
5908
5909
5910
5911
5912
5913
5914
5915
5916
5917
5918
5919
            TFFlaubertWithLMHeadModel,
        )
        from .models.funnel import (
            TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFunnelBaseModel,
            TFFunnelForMaskedLM,
            TFFunnelForMultipleChoice,
            TFFunnelForPreTraining,
            TFFunnelForQuestionAnswering,
            TFFunnelForSequenceClassification,
            TFFunnelForTokenClassification,
            TFFunnelModel,
5920
            TFFunnelPreTrainedModel,
5921
5922
5923
5924
5925
5926
5927
5928
5929
5930
        )
        from .models.gpt2 import (
            TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGPT2DoubleHeadsModel,
            TFGPT2ForSequenceClassification,
            TFGPT2LMHeadModel,
            TFGPT2MainLayer,
            TFGPT2Model,
            TFGPT2PreTrainedModel,
        )
5931
5932
5933
5934
5935
5936
        from .models.gptj import (
            TFGPTJForCausalLM,
            TFGPTJForQuestionAnswering,
            TFGPTJForSequenceClassification,
            TFGPTJModel,
            TFGPTJPreTrainedModel,
5937
5938
5939
5940
5941
5942
5943
        )
        from .models.groupvit import (
            TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGroupViTModel,
            TFGroupViTPreTrainedModel,
            TFGroupViTTextModel,
            TFGroupViTVisionModel,
5944
        )
Will Rice's avatar
Will Rice committed
5945
5946
5947
5948
5949
5950
        from .models.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
5951
5952
5953
5954
5955
5956
5957
5958
        from .models.layoutlmv3 import (
            TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMv3ForQuestionAnswering,
            TFLayoutLMv3ForSequenceClassification,
            TFLayoutLMv3ForTokenClassification,
            TFLayoutLMv3Model,
            TFLayoutLMv3PreTrainedModel,
        )
5959
5960
5961
5962
5963
5964
5965
5966
5967
        from .models.led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel
        from .models.longformer import (
            TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLongformerForMaskedLM,
            TFLongformerForMultipleChoice,
            TFLongformerForQuestionAnswering,
            TFLongformerForSequenceClassification,
            TFLongformerForTokenClassification,
            TFLongformerModel,
5968
            TFLongformerPreTrainedModel,
5969
5970
5971
5972
5973
5974
5975
5976
5977
5978
            TFLongformerSelfAttention,
        )
        from .models.lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )
5979
5980
        from .models.marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
        from .models.mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel
5981
5982
        from .models.mobilebert import (
            TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
Sayak Paul's avatar
Sayak Paul committed
5983
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
5984
5985
5986
5987
5988
5989
5990
5991
5992
5993
            TFMobileBertForMaskedLM,
            TFMobileBertForMultipleChoice,
            TFMobileBertForNextSentencePrediction,
            TFMobileBertForPreTraining,
            TFMobileBertForQuestionAnswering,
            TFMobileBertForSequenceClassification,
            TFMobileBertForTokenClassification,
            TFMobileBertMainLayer,
            TFMobileBertModel,
            TFMobileBertPreTrainedModel,
Sayak Paul's avatar
Sayak Paul committed
5994
5995
5996
5997
            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
5998
5999
6000
6001
6002
6003
6004
6005
6006
6007
6008
6009
6010
6011
6012
6013
6014
6015
6016
6017
6018
6019
        )
        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,
        )
Arthur's avatar
Arthur committed
6020
        from .models.opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel
6021
6022
        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
6023
6024
6025
6026
6027
6028
        from .models.regnet import (
            TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRegNetForImageClassification,
            TFRegNetModel,
            TFRegNetPreTrainedModel,
        )
6029
6030
6031
6032
6033
6034
6035
6036
6037
6038
6039
6040
        from .models.rembert import (
            TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRemBertForCausalLM,
            TFRemBertForMaskedLM,
            TFRemBertForMultipleChoice,
            TFRemBertForQuestionAnswering,
            TFRemBertForSequenceClassification,
            TFRemBertForTokenClassification,
            TFRemBertLayer,
            TFRemBertModel,
            TFRemBertPreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
6041
6042
6043
6044
6045
6046
        from .models.resnet import (
            TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFResNetForImageClassification,
            TFResNetModel,
            TFResNetPreTrainedModel,
        )
6047
6048
        from .models.roberta import (
            TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
6049
            TFRobertaForCausalLM,
6050
6051
6052
6053
6054
6055
6056
6057
6058
            TFRobertaForMaskedLM,
            TFRobertaForMultipleChoice,
            TFRobertaForQuestionAnswering,
            TFRobertaForSequenceClassification,
            TFRobertaForTokenClassification,
            TFRobertaMainLayer,
            TFRobertaModel,
            TFRobertaPreTrainedModel,
        )
6059
6060
6061
6062
6063
6064
6065
6066
6067
6068
6069
6070
        from .models.roberta_prelayernorm import (
            TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRobertaPreLayerNormForCausalLM,
            TFRobertaPreLayerNormForMaskedLM,
            TFRobertaPreLayerNormForMultipleChoice,
            TFRobertaPreLayerNormForQuestionAnswering,
            TFRobertaPreLayerNormForSequenceClassification,
            TFRobertaPreLayerNormForTokenClassification,
            TFRobertaPreLayerNormMainLayer,
            TFRobertaPreLayerNormModel,
            TFRobertaPreLayerNormPreTrainedModel,
        )
6071
6072
6073
6074
6075
6076
6077
6078
6079
6080
6081
6082
        from .models.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
6083
6084
6085
6086
6087
6088
6089
6090
        from .models.segformer import (
            TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSegformerDecodeHead,
            TFSegformerForImageClassification,
            TFSegformerForSemanticSegmentation,
            TFSegformerModel,
            TFSegformerPreTrainedModel,
        )
Joao Gante's avatar
Joao Gante committed
6091
6092
6093
6094
6095
6096
        from .models.speech_to_text import (
            TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSpeech2TextForConditionalGeneration,
            TFSpeech2TextModel,
            TFSpeech2TextPreTrainedModel,
        )
6097
6098
6099
6100
6101
6102
6103
        from .models.swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )
6104
6105
6106
6107
6108
6109
6110
        from .models.t5 import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFT5EncoderModel,
            TFT5ForConditionalGeneration,
            TFT5Model,
            TFT5PreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
6111
6112
6113
6114
6115
6116
6117
6118
        from .models.tapas import (
            TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTapasForMaskedLM,
            TFTapasForQuestionAnswering,
            TFTapasForSequenceClassification,
            TFTapasModel,
            TFTapasPreTrainedModel,
        )
6119
6120
6121
6122
6123
6124
6125
6126
6127
        from .models.transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )
6128
        from .models.vision_encoder_decoder import TFVisionEncoderDecoderModel
Yih-Dar's avatar
Yih-Dar committed
6129
        from .models.vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel
Sayak Paul's avatar
Sayak Paul committed
6130
        from .models.vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel
Will Rice's avatar
Will Rice committed
6131
6132
6133
6134
6135
6136
        from .models.wav2vec2 import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWav2Vec2ForCTC,
            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
6137
6138
6139
6140
6141
6142
        from .models.whisper import (
            TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWhisperForConditionalGeneration,
            TFWhisperModel,
            TFWhisperPreTrainedModel,
        )
6143
6144
6145
6146
6147
6148
        from .models.xglm import (
            TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXGLMForCausalLM,
            TFXGLMModel,
            TFXGLMPreTrainedModel,
        )
6149
6150
6151
6152
6153
6154
6155
6156
6157
6158
6159
6160
6161
        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,
6162
            TFXLMRobertaForCausalLM,
6163
6164
6165
6166
6167
6168
            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
6169
            TFXLMRobertaPreTrainedModel,
6170
6171
6172
6173
6174
6175
6176
6177
6178
6179
6180
6181
6182
6183
6184
6185
6186
6187
6188
        )
        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

6189
6190
6191
6192
    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
6193
6194
        # 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.
6195
6196
        from .utils.dummy_flax_objects import *
    else:
6197
        from .generation import (
6198
6199
            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
6200
            FlaxGenerationMixin,
Patrick von Platen's avatar
Patrick von Platen committed
6201
6202
6203
            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
6204
            FlaxMinLengthLogitsProcessor,
Patrick von Platen's avatar
Patrick von Platen committed
6205
6206
6207
6208
            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
        )
6209
        from .modeling_flax_utils import FlaxPreTrainedModel
6210
6211

        # Flax model imports
Kamal Raj's avatar
Kamal Raj committed
6212
6213
6214
6215
6216
6217
6218
6219
6220
6221
        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
6222
        from .models.auto import (
Suraj Patil's avatar
Suraj Patil committed
6223
            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
6224
            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
6225
6226
6227
6228
6229
            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,
6230
            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
6231
6232
            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
6233
            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
6234
6235
            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
Suraj Patil's avatar
Suraj Patil committed
6236
            FlaxAutoModelForCausalLM,
6237
            FlaxAutoModelForImageClassification,
6238
6239
6240
6241
6242
            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
6243
            FlaxAutoModelForSeq2SeqLM,
6244
6245
            FlaxAutoModelForSequenceClassification,
            FlaxAutoModelForTokenClassification,
6246
            FlaxAutoModelForVision2Seq,
6247
        )
Daniel Stancl's avatar
Daniel Stancl committed
6248
        from .models.bart import (
6249
6250
            FlaxBartDecoderPreTrainedModel,
            FlaxBartForCausalLM,
Daniel Stancl's avatar
Daniel Stancl committed
6251
6252
6253
6254
            FlaxBartForConditionalGeneration,
            FlaxBartForQuestionAnswering,
            FlaxBartForSequenceClassification,
            FlaxBartModel,
6255
            FlaxBartPreTrainedModel,
Daniel Stancl's avatar
Daniel Stancl committed
6256
        )
Kamal Raj's avatar
Kamal Raj committed
6257
6258
6259
6260
6261
6262
        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
6263
        from .models.bert import (
6264
            FlaxBertForCausalLM,
6265
6266
6267
6268
6269
6270
6271
6272
6273
6274
            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
6275
        from .models.big_bird import (
6276
            FlaxBigBirdForCausalLM,
Vasudev Gupta's avatar
Vasudev Gupta committed
6277
6278
6279
6280
6281
6282
6283
6284
6285
            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )
6286
6287
6288
6289
6290
        from .models.blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )
6291
6292
6293
6294
6295
        from .models.blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )
6296
6297
6298
6299
6300
6301
6302
6303
        from .models.clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
6304
6305
6306
6307
6308
6309
6310
6311
6312
        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
6313
        from .models.electra import (
6314
            FlaxElectraForCausalLM,
6315
6316
6317
6318
6319
6320
6321
6322
6323
            FlaxElectraForMaskedLM,
            FlaxElectraForMultipleChoice,
            FlaxElectraForPreTraining,
            FlaxElectraForQuestionAnswering,
            FlaxElectraForSequenceClassification,
            FlaxElectraForTokenClassification,
            FlaxElectraModel,
            FlaxElectraPreTrainedModel,
        )
6324
        from .models.encoder_decoder import FlaxEncoderDecoderModel
6325
        from .models.gpt2 import FlaxGPT2LMHeadModel, FlaxGPT2Model, FlaxGPT2PreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
6326
        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
6327
        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
6328
        from .models.longt5 import FlaxLongT5ForConditionalGeneration, FlaxLongT5Model, FlaxLongT5PreTrainedModel
6329
        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
6330
6331
6332
6333
6334
6335
6336
        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
Crystina's avatar
Crystina committed
6337
        from .models.mt5 import FlaxMT5EncoderModel, FlaxMT5ForConditionalGeneration, FlaxMT5Model
Arthur's avatar
Arthur committed
6338
        from .models.opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel
6339
        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
6340
        from .models.roberta import (
6341
            FlaxRobertaForCausalLM,
6342
6343
6344
6345
6346
6347
6348
6349
            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
6350
6351
6352
6353
6354
6355
6356
6357
6358
6359
        from .models.roberta_prelayernorm import (
            FlaxRobertaPreLayerNormForCausalLM,
            FlaxRobertaPreLayerNormForMaskedLM,
            FlaxRobertaPreLayerNormForMultipleChoice,
            FlaxRobertaPreLayerNormForQuestionAnswering,
            FlaxRobertaPreLayerNormForSequenceClassification,
            FlaxRobertaPreLayerNormForTokenClassification,
            FlaxRobertaPreLayerNormModel,
            FlaxRobertaPreLayerNormPreTrainedModel,
        )
Daniel Stancl's avatar
Daniel Stancl committed
6360
6361
6362
6363
6364
6365
6366
6367
6368
        from .models.roformer import (
            FlaxRoFormerForMaskedLM,
            FlaxRoFormerForMultipleChoice,
            FlaxRoFormerForQuestionAnswering,
            FlaxRoFormerForSequenceClassification,
            FlaxRoFormerForTokenClassification,
            FlaxRoFormerModel,
            FlaxRoFormerPreTrainedModel,
        )
6369
        from .models.speech_encoder_decoder import FlaxSpeechEncoderDecoderModel
Crystina's avatar
Crystina committed
6370
        from .models.t5 import FlaxT5EncoderModel, FlaxT5ForConditionalGeneration, FlaxT5Model, FlaxT5PreTrainedModel
6371
        from .models.vision_encoder_decoder import FlaxVisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
6372
        from .models.vision_text_dual_encoder import FlaxVisionTextDualEncoderModel
6373
        from .models.vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel
6374
6375
6376
6377
6378
6379
        from .models.wav2vec2 import (
            FlaxWav2Vec2ForCTC,
            FlaxWav2Vec2ForPreTraining,
            FlaxWav2Vec2Model,
            FlaxWav2Vec2PreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
6380
        from .models.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
6381
        from .models.xlm_roberta import (
6382
6383
            FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaxXLMRobertaForCausalLM,
6384
6385
6386
6387
6388
6389
            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
6390
            FlaxXLMRobertaPreTrainedModel,
6391
        )
6392

6393
else:
6394
6395
    import sys

Sylvain Gugger's avatar
Sylvain Gugger committed
6396
    sys.modules[__name__] = _LazyModule(
6397
6398
6399
6400
6401
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
        extra_objects={"__version__": __version__},
Sylvain Gugger's avatar
Sylvain Gugger committed
6402
    )
6403

6404

6405
if not is_tf_available() and not is_torch_available() and not is_flax_available():
6406
    logger.warning(
6407
        "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. "
6408
        "Models won't be available and only tokenizers, configuration "
6409
6410
        "and file/data utilities can be used."
    )