"docs/source/vscode:/vscode.git/clone" did not exist on "52a46dc57bb653aa9dab440e4bb70988b15cdc7e"
__init__.py 283 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__ = "4.33.0.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_bitsandbytes_available,
Susnato Dhar's avatar
Susnato Dhar committed
31
    is_essentia_available,
32
    is_flax_available,
33
    is_keras_nlp_available,
Susnato Dhar's avatar
Susnato Dhar committed
34
35
36
    is_librosa_available,
    is_pretty_midi_available,
    is_scipy_available,
37
    is_sentencepiece_available,
38
    is_speech_available,
39
    is_tensorflow_text_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
40
    is_tf_available,
NielsRogge's avatar
NielsRogge committed
41
    is_timm_available,
42
    is_tokenizers_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
43
    is_torch_available,
NielsRogge's avatar
NielsRogge committed
44
    is_torchvision_available,
45
    is_vision_available,
46
    logging,
Aymeric Augustin's avatar
Aymeric Augustin committed
47
)
Julien Chaumond's avatar
Julien Chaumond committed
48

49

50
logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
51

52

53
54
# Base objects, independent of any specific backend
_import_structure = {
55
    "audio_utils": [],
56
57
    "benchmark": [],
    "commands": [],
58
    "configuration_utils": ["PretrainedConfig"],
59
60
61
    "convert_graph_to_onnx": [],
    "convert_slow_tokenizers_checkpoints_to_fast": [],
    "convert_tf_hub_seq_to_seq_bert_to_pytorch": [],
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
    "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",
    ],
82
83
84
85
86
87
88
89
90
    "data.data_collator": [
        "DataCollator",
        "DataCollatorForLanguageModeling",
        "DataCollatorForPermutationLanguageModeling",
        "DataCollatorForSeq2Seq",
        "DataCollatorForSOP",
        "DataCollatorForTokenClassification",
        "DataCollatorForWholeWordMask",
        "DataCollatorWithPadding",
91
        "DefaultDataCollator",
92
93
        "default_data_collator",
    ],
94
95
96
    "data.metrics": [],
    "data.processors": [],
    "debug_utils": [],
97
    "deepspeed": [],
98
99
    "dependency_versions_check": [],
    "dependency_versions_table": [],
100
    "dynamic_module_utils": [],
101
    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
102
    "feature_extraction_utils": ["BatchFeature", "FeatureExtractionMixin"],
103
    "file_utils": [],
104
    "generation": ["GenerationConfig", "TextIteratorStreamer", "TextStreamer"],
105
    "hf_argparser": ["HfArgumentParser"],
106
    "hyperparameter_search": [],
107
    "image_transforms": [],
108
    "integrations": [
109
        "is_clearml_available",
110
        "is_comet_available",
111
        "is_neptune_available",
112
113
114
        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
115
        "is_sigopt_available",
116
117
118
119
120
121
122
123
124
125
126
127
128
        "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
129
    "models": [],
130
    # Models
131
    "models.albert": ["ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "AlbertConfig"],
132
133
134
135
136
137
138
    "models.align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignProcessor",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
Jongjyh's avatar
Jongjyh committed
139
140
141
142
143
144
145
    "models.altclip": [
        "ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AltCLIPConfig",
        "AltCLIPProcessor",
        "AltCLIPTextConfig",
        "AltCLIPVisionConfig",
    ],
146
147
148
149
    "models.audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ],
150
151
152
    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
153
        "FEATURE_EXTRACTOR_MAPPING",
amyeroberts's avatar
amyeroberts committed
154
        "IMAGE_PROCESSOR_MAPPING",
155
        "MODEL_NAMES_MAPPING",
Sylvain Gugger's avatar
Sylvain Gugger committed
156
        "PROCESSOR_MAPPING",
157
158
        "TOKENIZER_MAPPING",
        "AutoConfig",
159
        "AutoFeatureExtractor",
amyeroberts's avatar
amyeroberts committed
160
        "AutoImageProcessor",
Sylvain Gugger's avatar
Sylvain Gugger committed
161
        "AutoProcessor",
162
163
        "AutoTokenizer",
    ],
164
165
166
167
    "models.autoformer": [
        "AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AutoformerConfig",
    ],
Yoach Lacombe's avatar
Yoach Lacombe committed
168
169
170
171
172
173
174
    "models.bark": [
        "BarkCoarseConfig",
        "BarkConfig",
        "BarkFineConfig",
        "BarkProcessor",
        "BarkSemanticConfig",
    ],
175
176
    "models.bart": ["BartConfig", "BartTokenizer"],
    "models.barthez": [],
177
    "models.bartpho": [],
NielsRogge's avatar
NielsRogge committed
178
    "models.beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig"],
179
180
181
182
183
184
185
186
187
188
    "models.bert": [
        "BERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BasicTokenizer",
        "BertConfig",
        "BertTokenizer",
        "WordpieceTokenizer",
    ],
    "models.bert_generation": ["BertGenerationConfig"],
    "models.bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"],
    "models.bertweet": ["BertweetTokenizer"],
189
    "models.big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
Vasudev Gupta's avatar
Vasudev Gupta committed
190
191
192
193
    "models.bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
    ],
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
194
    "models.biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig", "BioGptTokenizer"],
NielsRogge's avatar
NielsRogge committed
195
    "models.bit": ["BIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BitConfig"],
196
197
198
199
200
201
    "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
202
203
204
205
206
207
208
    "models.blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipProcessor",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
NielsRogge's avatar
NielsRogge committed
209
210
211
212
213
214
215
    "models.blip_2": [
        "BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Blip2Config",
        "Blip2Processor",
        "Blip2QFormerConfig",
        "Blip2VisionConfig",
    ],
Younes Belkada's avatar
Younes Belkada committed
216
    "models.bloom": ["BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP", "BloomConfig"],
217
218
219
220
221
222
223
    "models.bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerProcessor",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
Patrick von Platen's avatar
Patrick von Platen committed
224
    "models.byt5": ["ByT5Tokenizer"],
225
    "models.camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig"],
NielsRogge's avatar
NielsRogge committed
226
    "models.canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig", "CanineTokenizer"],
227
228
229
230
231
232
233
    "models.chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPProcessor",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
234
235
236
237
238
239
240
    "models.clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapProcessor",
        "ClapTextConfig",
    ],
Suraj Patil's avatar
Suraj Patil committed
241
242
243
    "models.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
NielsRogge's avatar
NielsRogge committed
244
        "CLIPProcessor",
Suraj Patil's avatar
Suraj Patil committed
245
246
247
248
        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
NielsRogge's avatar
NielsRogge committed
249
250
251
252
253
254
255
    "models.clipseg": [
        "CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPSegConfig",
        "CLIPSegProcessor",
        "CLIPSegTextConfig",
        "CLIPSegVisionConfig",
    ],
256
    "models.code_llama": [],
rooa's avatar
rooa committed
257
    "models.codegen": ["CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodeGenConfig", "CodeGenTokenizer"],
258
    "models.conditional_detr": ["CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConditionalDetrConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
259
    "models.convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig", "ConvBertTokenizer"],
NielsRogge's avatar
NielsRogge committed
260
    "models.convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
Alara Dirik's avatar
Alara Dirik committed
261
    "models.convnextv2": ["CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextV2Config"],
262
    "models.cpm": [],
263
    "models.cpmant": ["CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CpmAntConfig", "CpmAntTokenizer"],
264
    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
NielsRogge's avatar
NielsRogge committed
265
    "models.cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"],
266
267
268
269
270
271
272
    "models.data2vec": [
        "DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Data2VecAudioConfig",
        "Data2VecTextConfig",
        "Data2VecVisionConfig",
    ],
273
    "models.deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaTokenizer"],
274
    "models.deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config"],
275
    "models.decision_transformer": ["DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig"],
NielsRogge's avatar
NielsRogge committed
276
    "models.deformable_detr": ["DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeformableDetrConfig"],
NielsRogge's avatar
NielsRogge committed
277
    "models.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
278
279
280
281
282
283
284
285
286
    "models.deprecated": [],
    "models.deprecated.bort": [],
    "models.deprecated.mctct": [
        "MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MCTCTConfig",
        "MCTCTFeatureExtractor",
        "MCTCTProcessor",
    ],
    "models.deprecated.mmbt": ["MMBTConfig"],
287
    "models.deprecated.open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
288
289
290
291
292
293
294
295
296
297
298
    "models.deprecated.retribert": [
        "RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "RetriBertConfig",
        "RetriBertTokenizer",
    ],
    "models.deprecated.tapex": ["TapexTokenizer"],
    "models.deprecated.trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
    "models.deprecated.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
NielsRogge's avatar
NielsRogge committed
299
    "models.deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
NielsRogge's avatar
NielsRogge committed
300
    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
301
    "models.dialogpt": [],
302
    "models.dinat": ["DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DinatConfig"],
NielsRogge's avatar
NielsRogge committed
303
    "models.dinov2": ["DINOV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Dinov2Config"],
304
    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
305
    "models.dit": [],
NielsRogge's avatar
NielsRogge committed
306
    "models.donut": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutProcessor", "DonutSwinConfig"],
307
308
309
310
311
312
313
314
    "models.dpr": [
        "DPR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DPRConfig",
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
315
    "models.dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"],
316
    "models.efficientformer": ["EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientFormerConfig"],
Alara Dirik's avatar
Alara Dirik committed
317
    "models.efficientnet": ["EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "EfficientNetConfig"],
318
    "models.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
319
320
321
    "models.encodec": [
        "ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EncodecConfig",
322
        "EncodecFeatureExtractor",
323
    ],
324
    "models.encoder_decoder": ["EncoderDecoderConfig"],
325
326
327
328
    "models.ernie": [
        "ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ErnieConfig",
    ],
329
    "models.ernie_m": ["ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP", "ErnieMConfig"],
330
    "models.esm": ["ESM_PRETRAINED_CONFIG_ARCHIVE_MAP", "EsmConfig", "EsmTokenizer"],
Matt's avatar
Matt committed
331
    "models.falcon": ["FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP", "FalconConfig"],
332
    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
333
334
335
336
337
338
339
340
    "models.flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
341
    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"],
NielsRogge's avatar
NielsRogge committed
342
    "models.focalnet": ["FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FocalNetConfig"],
343
344
    "models.fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig", "FSMTTokenizer"],
    "models.funnel": ["FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP", "FunnelConfig", "FunnelTokenizer"],
345
    "models.git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitProcessor", "GitVisionConfig"],
NielsRogge's avatar
NielsRogge committed
346
    "models.glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"],
347
    "models.gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2Tokenizer"],
348
    "models.gpt_bigcode": ["GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTBigCodeConfig"],
Suraj Patil's avatar
Suraj Patil committed
349
    "models.gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
350
    "models.gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"],
351
    "models.gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXJapaneseConfig"],
352
    "models.gpt_sw3": [],
Stella Biderman's avatar
Stella Biderman committed
353
    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
354
355
356
357
358
    "models.gptsan_japanese": [
        "GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GPTSanJapaneseConfig",
        "GPTSanJapaneseTokenizer",
    ],
359
    "models.graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"],
360
361
362
363
364
365
    "models.groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
366
    "models.herbert": ["HerbertTokenizer"],
Patrick von Platen's avatar
Patrick von Platen committed
367
    "models.hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
Sehoon Kim's avatar
Sehoon Kim committed
368
    "models.ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig"],
369
370
371
372
    "models.idefics": [
        "IDEFICS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "IdeficsConfig",
    ],
NielsRogge's avatar
NielsRogge committed
373
    "models.imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
374
    "models.informer": ["INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "InformerConfig"],
NielsRogge's avatar
NielsRogge committed
375
376
377
378
379
380
381
    "models.instructblip": [
        "INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InstructBlipConfig",
        "InstructBlipProcessor",
        "InstructBlipQFormerConfig",
        "InstructBlipVisionConfig",
    ],
382
383
384
385
386
387
388
    "models.jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxTokenizer",
        "JukeboxVQVAEConfig",
    ],
389
    "models.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
390
391
392
393
    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
amyeroberts's avatar
amyeroberts committed
394
        "LayoutLMv2ImageProcessor",
395
396
397
        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
398
399
400
401
    "models.layoutlmv3": [
        "LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv3Config",
        "LayoutLMv3FeatureExtractor",
amyeroberts's avatar
amyeroberts committed
402
        "LayoutLMv3ImageProcessor",
NielsRogge's avatar
NielsRogge committed
403
404
405
        "LayoutLMv3Processor",
        "LayoutLMv3Tokenizer",
    ],
406
    "models.layoutxlm": ["LayoutXLMProcessor"],
407
    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
408
    "models.levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig"],
NielsRogge's avatar
NielsRogge committed
409
    "models.lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
Jason Phang's avatar
Jason Phang committed
410
    "models.llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
411
    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
Daniel Stancl's avatar
Daniel Stancl committed
412
    "models.longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config"],
NielsRogge's avatar
NielsRogge committed
413
    "models.luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig", "LukeTokenizer"],
414
    "models.lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig", "LxmertTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
415
    "models.m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config"],
416
    "models.marian": ["MarianConfig"],
NielsRogge's avatar
NielsRogge committed
417
418
419
420
421
422
423
    "models.markuplm": [
        "MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MarkupLMConfig",
        "MarkupLMFeatureExtractor",
        "MarkupLMProcessor",
        "MarkupLMTokenizer",
    ],
Alara Dirik's avatar
Alara Dirik committed
424
425
426
427
    "models.mask2former": [
        "MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Mask2FormerConfig",
    ],
428
    "models.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig", "MaskFormerSwinConfig"],
429
    "models.mbart": ["MBartConfig"],
430
    "models.mbart50": [],
431
    "models.mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig"],
432
    "models.megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
433
    "models.megatron_gpt2": [],
wangpeng's avatar
wangpeng committed
434
    "models.mgp_str": ["MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP", "MgpstrConfig", "MgpstrProcessor", "MgpstrTokenizer"],
Ryokan RI's avatar
Ryokan RI committed
435
    "models.mluke": [],
436
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
437
    "models.mobilenet_v1": ["MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV1Config"],
438
    "models.mobilenet_v2": ["MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileNetV2Config"],
439
    "models.mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig"],
Shehan Munasinghe's avatar
Shehan Munasinghe committed
440
    "models.mobilevitv2": ["MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTV2Config"],
441
    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
442
    "models.mpt": ["MPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MptConfig"],
443
    "models.mra": ["MRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MraConfig"],
444
    "models.mt5": ["MT5Config"],
Sanchit Gandhi's avatar
Sanchit Gandhi committed
445
446
447
448
449
    "models.musicgen": [
        "MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MusicgenConfig",
        "MusicgenDecoderConfig",
    ],
StevenTang1998's avatar
StevenTang1998 committed
450
    "models.mvp": ["MvpConfig", "MvpTokenizer"],
451
    "models.nat": ["NAT_PRETRAINED_CONFIG_ARCHIVE_MAP", "NatConfig"],
452
    "models.nezha": ["NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP", "NezhaConfig"],
Lysandre Debut's avatar
Lysandre Debut committed
453
    "models.nllb": [],
454
    "models.nllb_moe": ["NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP", "NllbMoeConfig"],
novice's avatar
novice committed
455
456
457
458
    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
Jitesh Jain's avatar
Jitesh Jain committed
459
    "models.oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig", "OneFormerProcessor"],
460
    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
Younes Belkada's avatar
Younes Belkada committed
461
    "models.opt": ["OPTConfig"],
462
463
464
465
466
467
468
    "models.owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTProcessor",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
469
    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
Jason Phang's avatar
Jason Phang committed
470
    "models.pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
NielsRogge's avatar
NielsRogge committed
471
    "models.perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "PerceiverTokenizer"],
472
    "models.phobert": ["PhobertTokenizer"],
Younes Belkada's avatar
Younes Belkada committed
473
474
475
476
477
478
479
    "models.pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructProcessor",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
480
    "models.plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
Tanay Mehta's avatar
Tanay Mehta committed
481
    "models.poolformer": ["POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PoolFormerConfig"],
Susnato Dhar's avatar
Susnato Dhar committed
482
483
484
485
    "models.pop2piano": [
        "POP2PIANO_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pop2PianoConfig",
    ],
486
    "models.prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig", "ProphetNetTokenizer"],
Rinat's avatar
Rinat committed
487
    "models.pvt": ["PVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "PvtConfig"],
488
    "models.qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
489
    "models.rag": ["RagConfig", "RagRetriever", "RagTokenizer"],
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
490
    "models.realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig", "RealmTokenizer"],
491
    "models.reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"],
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
492
    "models.regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"],
493
    "models.rembert": ["REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RemBertConfig"],
494
    "models.resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig"],
495
    "models.roberta": ["ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaConfig", "RobertaTokenizer"],
496
    "models.roberta_prelayernorm": ["ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaPreLayerNormConfig"],
Weiwe Shi's avatar
Weiwe Shi committed
497
    "models.roc_bert": ["ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoCBertConfig", "RoCBertTokenizer"],
498
    "models.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
499
    "models.rwkv": ["RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP", "RwkvConfig"],
500
501
502
503
504
505
506
507
    "models.sam": [
        "SAM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SamConfig",
        "SamMaskDecoderConfig",
        "SamProcessor",
        "SamPromptEncoderConfig",
        "SamVisionConfig",
    ],
NielsRogge's avatar
NielsRogge committed
508
    "models.segformer": ["SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SegformerConfig"],
509
510
    "models.sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"],
    "models.sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"],
511
    "models.speech_encoder_decoder": ["SpeechEncoderDecoderConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
512
513
514
    "models.speech_to_text": [
        "SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2TextConfig",
515
        "Speech2TextProcessor",
Sylvain Gugger's avatar
Sylvain Gugger committed
516
    ],
517
518
519
520
521
522
    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
523
524
525
526
    "models.speecht5": [
        "SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP",
        "SpeechT5Config",
527
        "SpeechT5FeatureExtractor",
528
        "SpeechT5HifiGanConfig",
529
        "SpeechT5Processor",
530
    ],
Ori Ram's avatar
Ori Ram committed
531
    "models.splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig", "SplinterTokenizer"],
532
    "models.squeezebert": ["SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "SqueezeBertConfig", "SqueezeBertTokenizer"],
Shehan Munasinghe's avatar
Shehan Munasinghe committed
533
    "models.swiftformer": ["SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwiftFormerConfig"],
novice's avatar
novice committed
534
    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
NielsRogge's avatar
NielsRogge committed
535
    "models.swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
536
    "models.swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
537
    "models.switch_transformers": ["SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwitchTransformersConfig"],
538
    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
539
    "models.table_transformer": ["TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TableTransformerConfig"],
540
    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
541
542
543
544
    "models.time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
545
    "models.timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
amyeroberts's avatar
amyeroberts committed
546
    "models.timm_backbone": ["TimmBackboneConfig"],
547
548
549
550
551
552
    "models.transfo_xl": [
        "TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TransfoXLConfig",
        "TransfoXLCorpus",
        "TransfoXLTokenizer",
    ],
553
554
555
556
557
    "models.trocr": [
        "TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrOCRConfig",
        "TrOCRProcessor",
    ],
Zineng Tang's avatar
Zineng Tang committed
558
559
560
    "models.tvlt": [
        "TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TvltConfig",
561
        "TvltFeatureExtractor",
Zineng Tang's avatar
Zineng Tang committed
562
563
        "TvltProcessor",
    ],
564
    "models.umt5": ["UMT5Config"],
565
566
567
568
569
570
571
572
    "models.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
NielsRogge's avatar
NielsRogge committed
573
    "models.upernet": ["UperNetConfig"],
NielsRogge's avatar
NielsRogge committed
574
    "models.videomae": ["VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "VideoMAEConfig"],
amyeroberts's avatar
amyeroberts committed
575
576
577
578
579
580
581
    "models.vilt": [
        "VILT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ViltConfig",
        "ViltFeatureExtractor",
        "ViltImageProcessor",
        "ViltProcessor",
    ],
582
    "models.vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
Suraj Patil's avatar
Suraj Patil committed
583
    "models.vision_text_dual_encoder": ["VisionTextDualEncoderConfig", "VisionTextDualEncoderProcessor"],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
584
    "models.visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"],
585
    "models.vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig"],
NielsRogge's avatar
NielsRogge committed
586
    "models.vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"],
NielsRogge's avatar
NielsRogge committed
587
    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
588
    "models.vit_msn": ["VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMSNConfig"],
NielsRogge's avatar
NielsRogge committed
589
    "models.vitdet": ["VITDET_PRETRAINED_CONFIG_ARCHIVE_MAP", "VitDetConfig"],
Matthijs Hollemans's avatar
Matthijs Hollemans committed
590
591
592
593
594
    "models.vits": [
        "VITS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "VitsConfig",
        "VitsTokenizer",
    ],
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
595
596
597
598
    "models.vivit": [
        "VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "VivitConfig",
    ],
Sylvain Gugger's avatar
Sylvain Gugger committed
599
600
601
602
603
604
605
606
    "models.wav2vec2": [
        "WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2Config",
        "Wav2Vec2CTCTokenizer",
        "Wav2Vec2FeatureExtractor",
        "Wav2Vec2Processor",
        "Wav2Vec2Tokenizer",
    ],
607
608
609
610
    "models.wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
611
    "models.wav2vec2_phoneme": ["Wav2Vec2PhonemeCTCTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
612
    "models.wav2vec2_with_lm": ["Wav2Vec2ProcessorWithLM"],
Patrick von Platen's avatar
Patrick von Platen committed
613
614
615
616
    "models.wavlm": [
        "WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WavLMConfig",
    ],
617
618
619
620
621
622
623
    "models.whisper": [
        "WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WhisperConfig",
        "WhisperFeatureExtractor",
        "WhisperProcessor",
        "WhisperTokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
624
625
626
627
628
629
630
    "models.x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPProcessor",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
Suraj Patil's avatar
Suraj Patil committed
631
    "models.xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
632
633
634
    "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"],
635
    "models.xlm_roberta_xl": ["XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaXLConfig"],
636
    "models.xlnet": ["XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLNetConfig"],
Jannis Vamvas's avatar
Jannis Vamvas committed
637
    "models.xmod": ["XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP", "XmodConfig"],
NielsRogge's avatar
NielsRogge committed
638
    "models.yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig"],
novice's avatar
novice committed
639
    "models.yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
640
    "onnx": [],
641
    "pipelines": [
642
        "AudioClassificationPipeline",
643
        "AutomaticSpeechRecognitionPipeline",
644
645
646
        "Conversation",
        "ConversationalPipeline",
        "CsvPipelineDataFormat",
647
        "DepthEstimationPipeline",
648
        "DocumentQuestionAnsweringPipeline",
649
650
        "FeatureExtractionPipeline",
        "FillMaskPipeline",
651
        "ImageClassificationPipeline",
652
        "ImageSegmentationPipeline",
653
        "ImageToTextPipeline",
654
655
        "JsonPipelineDataFormat",
        "NerPipeline",
656
        "ObjectDetectionPipeline",
657
658
659
660
661
662
663
664
665
        "PipedPipelineDataFormat",
        "Pipeline",
        "PipelineDataFormat",
        "QuestionAnsweringPipeline",
        "SummarizationPipeline",
        "TableQuestionAnsweringPipeline",
        "Text2TextGenerationPipeline",
        "TextClassificationPipeline",
        "TextGenerationPipeline",
666
        "TextToAudioPipeline",
667
668
        "TokenClassificationPipeline",
        "TranslationPipeline",
669
        "VideoClassificationPipeline",
670
        "VisualQuestionAnsweringPipeline",
671
        "ZeroShotAudioClassificationPipeline",
672
        "ZeroShotClassificationPipeline",
673
        "ZeroShotImageClassificationPipeline",
674
        "ZeroShotObjectDetectionPipeline",
675
676
        "pipeline",
    ],
677
    "processing_utils": ["ProcessorMixin"],
678
    "testing_utils": [],
679
680
681
682
683
684
685
686
687
    "tokenization_utils": ["PreTrainedTokenizer"],
    "tokenization_utils_base": [
        "AddedToken",
        "BatchEncoding",
        "CharSpan",
        "PreTrainedTokenizerBase",
        "SpecialTokensMixin",
        "TokenSpan",
    ],
Sylvain Gugger's avatar
Sylvain Gugger committed
688
689
    "tools": [
        "Agent",
Sylvain Gugger's avatar
Sylvain Gugger committed
690
        "AzureOpenAiAgent",
Sylvain Gugger's avatar
Sylvain Gugger committed
691
        "HfAgent",
Sylvain Gugger's avatar
Sylvain Gugger committed
692
        "LocalAgent",
Sylvain Gugger's avatar
Sylvain Gugger committed
693
694
695
696
697
698
699
        "OpenAiAgent",
        "PipelineTool",
        "RemoteTool",
        "Tool",
        "launch_gradio_demo",
        "load_tool",
    ],
700
701
702
703
704
705
706
707
708
    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
709
    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "enable_full_determinism", "set_seed"],
710
711
712
    "training_args": ["TrainingArguments"],
    "training_args_seq2seq": ["Seq2SeqTrainingArguments"],
    "training_args_tf": ["TFTrainingArguments"],
713
714
715
716
717
718
719
720
721
722
723
724
725
726
    "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",
727
        "is_bitsandbytes_available",
728
        "is_datasets_available",
729
        "is_decord_available",
730
731
        "is_faiss_available",
        "is_flax_available",
Matt's avatar
Matt committed
732
        "is_keras_nlp_available",
733
734
735
736
        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
737
        "is_safetensors_available",
738
739
740
741
        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
742
        "is_tensorflow_text_available",
743
744
745
746
        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
747
        "is_torch_neuroncore_available",
748
        "is_torch_npu_available",
749
        "is_torch_tpu_available",
NielsRogge's avatar
NielsRogge committed
750
        "is_torchvision_available",
751
752
753
        "is_vision_available",
        "logging",
    ],
Marc Sun's avatar
Marc Sun committed
754
    "utils.quantization_config": ["BitsAndBytesConfig", "GPTQConfig"],
755
}
756

757
# sentencepiece-backed objects
758
759
760
761
762
763
764
765
766
767
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:
768
769
    _import_structure["models.albert"].append("AlbertTokenizer")
    _import_structure["models.barthez"].append("BarthezTokenizer")
770
    _import_structure["models.bartpho"].append("BartphoTokenizer")
771
    _import_structure["models.bert_generation"].append("BertGenerationTokenizer")
772
    _import_structure["models.big_bird"].append("BigBirdTokenizer")
773
    _import_structure["models.camembert"].append("CamembertTokenizer")
774
    _import_structure["models.code_llama"].append("CodeLlamaTokenizer")
775
    _import_structure["models.cpm"].append("CpmTokenizer")
776
    _import_structure["models.deberta_v2"].append("DebertaV2Tokenizer")
777
    _import_structure["models.ernie_m"].append("ErnieMTokenizer")
778
    _import_structure["models.fnet"].append("FNetTokenizer")
779
    _import_structure["models.gpt_sw3"].append("GPTSw3Tokenizer")
780
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
Jason Phang's avatar
Jason Phang committed
781
    _import_structure["models.llama"].append("LlamaTokenizer")
782
    _import_structure["models.m2m_100"].append("M2M100Tokenizer")
783
784
    _import_structure["models.marian"].append("MarianTokenizer")
    _import_structure["models.mbart"].append("MBartTokenizer")
785
    _import_structure["models.mbart50"].append("MBart50Tokenizer")
Ryokan RI's avatar
Ryokan RI committed
786
    _import_structure["models.mluke"].append("MLukeTokenizer")
787
    _import_structure["models.mt5"].append("MT5Tokenizer")
788
    _import_structure["models.nllb"].append("NllbTokenizer")
789
    _import_structure["models.pegasus"].append("PegasusTokenizer")
Gunjan Chhablani's avatar
Gunjan Chhablani committed
790
    _import_structure["models.plbart"].append("PLBartTokenizer")
791
    _import_structure["models.reformer"].append("ReformerTokenizer")
792
    _import_structure["models.rembert"].append("RemBertTokenizer")
Suraj Patil's avatar
Suraj Patil committed
793
    _import_structure["models.speech_to_text"].append("Speech2TextTokenizer")
794
    _import_structure["models.speecht5"].append("SpeechT5Tokenizer")
795
    _import_structure["models.t5"].append("T5Tokenizer")
Suraj Patil's avatar
Suraj Patil committed
796
    _import_structure["models.xglm"].append("XGLMTokenizer")
797
798
799
800
    _import_structure["models.xlm_prophetnet"].append("XLMProphetNetTokenizer")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizer")
    _import_structure["models.xlnet"].append("XLNetTokenizer")

801
# tokenizers-backed objects
802
803
804
805
806
807
808
809
810
811
812
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
813
814
815
816
    _import_structure["models.albert"].append("AlbertTokenizerFast")
    _import_structure["models.bart"].append("BartTokenizerFast")
    _import_structure["models.barthez"].append("BarthezTokenizerFast")
    _import_structure["models.bert"].append("BertTokenizerFast")
817
    _import_structure["models.big_bird"].append("BigBirdTokenizerFast")
818
    _import_structure["models.blenderbot"].append("BlenderbotTokenizerFast")
819
    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
Younes Belkada's avatar
Younes Belkada committed
820
    _import_structure["models.bloom"].append("BloomTokenizerFast")
821
    _import_structure["models.camembert"].append("CamembertTokenizerFast")
822
    _import_structure["models.clip"].append("CLIPTokenizerFast")
823
    _import_structure["models.code_llama"].append("CodeLlamaTokenizerFast")
rooa's avatar
rooa committed
824
    _import_structure["models.codegen"].append("CodeGenTokenizerFast")
825
    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
826
    _import_structure["models.cpm"].append("CpmTokenizerFast")
827
    _import_structure["models.deberta"].append("DebertaTokenizerFast")
828
    _import_structure["models.deberta_v2"].append("DebertaV2TokenizerFast")
Sylvain Gugger's avatar
Sylvain Gugger committed
829
    _import_structure["models.deprecated.retribert"].append("RetriBertTokenizerFast")
830
831
832
833
834
    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
835
    _import_structure["models.fnet"].append("FNetTokenizerFast")
836
837
    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
838
    _import_structure["models.gpt_neox"].append("GPTNeoXTokenizerFast")
839
    _import_structure["models.gpt_neox_japanese"].append("GPTNeoXJapaneseTokenizer")
840
841
    _import_structure["models.herbert"].append("HerbertTokenizerFast")
    _import_structure["models.layoutlm"].append("LayoutLMTokenizerFast")
842
    _import_structure["models.layoutlmv2"].append("LayoutLMv2TokenizerFast")
NielsRogge's avatar
NielsRogge committed
843
    _import_structure["models.layoutlmv3"].append("LayoutLMv3TokenizerFast")
844
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizerFast")
845
    _import_structure["models.led"].append("LEDTokenizerFast")
846
    _import_structure["models.llama"].append("LlamaTokenizerFast")
847
848
    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
NielsRogge's avatar
NielsRogge committed
849
    _import_structure["models.markuplm"].append("MarkupLMTokenizerFast")
850
    _import_structure["models.mbart"].append("MBartTokenizerFast")
851
    _import_structure["models.mbart50"].append("MBart50TokenizerFast")
852
853
854
    _import_structure["models.mobilebert"].append("MobileBertTokenizerFast")
    _import_structure["models.mpnet"].append("MPNetTokenizerFast")
    _import_structure["models.mt5"].append("MT5TokenizerFast")
StevenTang1998's avatar
StevenTang1998 committed
855
    _import_structure["models.mvp"].append("MvpTokenizerFast")
Lysandre Debut's avatar
Lysandre Debut committed
856
    _import_structure["models.nllb"].append("NllbTokenizerFast")
857
858
    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
859
    _import_structure["models.realm"].append("RealmTokenizerFast")
860
    _import_structure["models.reformer"].append("ReformerTokenizerFast")
861
    _import_structure["models.rembert"].append("RemBertTokenizerFast")
862
    _import_structure["models.roberta"].append("RobertaTokenizerFast")
863
    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
Ori Ram's avatar
Ori Ram committed
864
    _import_structure["models.splinter"].append("SplinterTokenizerFast")
865
866
    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
867
    _import_structure["models.whisper"].append("WhisperTokenizerFast")
868
    _import_structure["models.xglm"].append("XGLMTokenizerFast")
869
870
871
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
872

Aymeric Augustin's avatar
Aymeric Augustin committed
873

874
875
876
877
try:
    if not (is_sentencepiece_available() and is_tokenizers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
878
879
880
881
882
    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("_")
    ]
883
884
else:
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
885

886
# Speech-specific objects
887
888
889
890
try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
891
892
893
894
895
    from .utils import dummy_speech_objects

    _import_structure["utils.dummy_speech_objects"] = [
        name for name in dir(dummy_speech_objects) if not name.startswith("_")
    ]
896
else:
897
    _import_structure["models.audio_spectrogram_transformer"].append("ASTFeatureExtractor")
898
899
    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")

900
901
902
903
904
905
906
907
908
909
910
911
912
# 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")

913
914
915
916
917
918
919
920
921
922
923
924
925
# 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")

926
# Vision-specific objects
927
928
929
930
931
932
933
934
935
936
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
937
    _import_structure["image_processing_utils"] = ["ImageProcessingMixin"]
938
    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
amyeroberts's avatar
amyeroberts committed
939
    _import_structure["models.beit"].extend(["BeitFeatureExtractor", "BeitImageProcessor"])
NielsRogge's avatar
NielsRogge committed
940
    _import_structure["models.bit"].extend(["BitImageProcessor"])
Younes Belkada's avatar
Younes Belkada committed
941
    _import_structure["models.blip"].extend(["BlipImageProcessor"])
942
    _import_structure["models.bridgetower"].append("BridgeTowerImageProcessor")
943
    _import_structure["models.chinese_clip"].extend(["ChineseCLIPFeatureExtractor", "ChineseCLIPImageProcessor"])
amyeroberts's avatar
amyeroberts committed
944
    _import_structure["models.clip"].extend(["CLIPFeatureExtractor", "CLIPImageProcessor"])
945
946
947
    _import_structure["models.conditional_detr"].extend(
        ["ConditionalDetrFeatureExtractor", "ConditionalDetrImageProcessor"]
    )
amyeroberts's avatar
amyeroberts committed
948
    _import_structure["models.convnext"].extend(["ConvNextFeatureExtractor", "ConvNextImageProcessor"])
949
950
951
    _import_structure["models.deformable_detr"].extend(
        ["DeformableDetrFeatureExtractor", "DeformableDetrImageProcessor"]
    )
amyeroberts's avatar
amyeroberts committed
952
    _import_structure["models.deit"].extend(["DeiTFeatureExtractor", "DeiTImageProcessor"])
NielsRogge's avatar
NielsRogge committed
953
    _import_structure["models.deta"].append("DetaImageProcessor")
954
    _import_structure["models.detr"].extend(["DetrFeatureExtractor", "DetrImageProcessor"])
955
    _import_structure["models.donut"].extend(["DonutFeatureExtractor", "DonutImageProcessor"])
amyeroberts's avatar
amyeroberts committed
956
    _import_structure["models.dpt"].extend(["DPTFeatureExtractor", "DPTImageProcessor"])
957
    _import_structure["models.efficientformer"].append("EfficientFormerImageProcessor")
Alara Dirik's avatar
Alara Dirik committed
958
    _import_structure["models.efficientnet"].append("EfficientNetImageProcessor")
959
    _import_structure["models.flava"].extend(["FlavaFeatureExtractor", "FlavaImageProcessor", "FlavaProcessor"])
amyeroberts's avatar
amyeroberts committed
960
    _import_structure["models.glpn"].extend(["GLPNFeatureExtractor", "GLPNImageProcessor"])
961
    _import_structure["models.idefics"].extend(["IdeficsImageProcessor"])
amyeroberts's avatar
amyeroberts committed
962
963
964
965
    _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"])
966
    _import_structure["models.mask2former"].append("Mask2FormerImageProcessor")
967
    _import_structure["models.maskformer"].extend(["MaskFormerFeatureExtractor", "MaskFormerImageProcessor"])
968
    _import_structure["models.mobilenet_v1"].extend(["MobileNetV1FeatureExtractor", "MobileNetV1ImageProcessor"])
969
    _import_structure["models.mobilenet_v2"].extend(["MobileNetV2FeatureExtractor", "MobileNetV2ImageProcessor"])
amyeroberts's avatar
amyeroberts committed
970
    _import_structure["models.mobilevit"].extend(["MobileViTFeatureExtractor", "MobileViTImageProcessor"])
Jitesh Jain's avatar
Jitesh Jain committed
971
    _import_structure["models.oneformer"].extend(["OneFormerImageProcessor"])
972
    _import_structure["models.owlvit"].extend(["OwlViTFeatureExtractor", "OwlViTImageProcessor"])
amyeroberts's avatar
amyeroberts committed
973
    _import_structure["models.perceiver"].extend(["PerceiverFeatureExtractor", "PerceiverImageProcessor"])
Younes Belkada's avatar
Younes Belkada committed
974
    _import_structure["models.pix2struct"].extend(["Pix2StructImageProcessor"])
amyeroberts's avatar
amyeroberts committed
975
    _import_structure["models.poolformer"].extend(["PoolFormerFeatureExtractor", "PoolFormerImageProcessor"])
Rinat's avatar
Rinat committed
976
    _import_structure["models.pvt"].extend(["PvtImageProcessor"])
977
    _import_structure["models.sam"].extend(["SamImageProcessor"])
amyeroberts's avatar
amyeroberts committed
978
    _import_structure["models.segformer"].extend(["SegformerFeatureExtractor", "SegformerImageProcessor"])
NielsRogge's avatar
NielsRogge committed
979
    _import_structure["models.swin2sr"].append("Swin2SRImageProcessor")
Zineng Tang's avatar
Zineng Tang committed
980
    _import_structure["models.tvlt"].append("TvltImageProcessor")
amyeroberts's avatar
amyeroberts committed
981
982
983
    _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
984
    _import_structure["models.vit_hybrid"].extend(["ViTHybridImageProcessor"])
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
985
    _import_structure["models.vivit"].append("VivitImageProcessor")
986
    _import_structure["models.yolos"].extend(["YolosFeatureExtractor", "YolosImageProcessor"])
987

988

989
# PyTorch-backed objects
990
991
992
993
994
995
996
997
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:
998
    _import_structure["activations"] = []
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
    _import_structure["benchmark.benchmark"] = ["PyTorchBenchmark"]
    _import_structure["benchmark.benchmark_args"] = ["PyTorchBenchmarkArguments"]
    _import_structure["data.datasets"] = [
        "GlueDataset",
        "GlueDataTrainingArguments",
        "LineByLineTextDataset",
        "LineByLineWithRefDataset",
        "LineByLineWithSOPTextDataset",
        "SquadDataset",
        "SquadDataTrainingArguments",
        "TextDataset",
        "TextDatasetForNextSentencePrediction",
    ]
1012
1013
    _import_structure["generation"].extend(
        [
1014
            "AlternatingCodebooksLogitsProcessor",
1015
1016
            "BeamScorer",
            "BeamSearchScorer",
1017
            "ClassifierFreeGuidanceLogitsProcessor",
1018
            "ConstrainedBeamSearchScorer",
1019
1020
1021
            "Constraint",
            "ConstraintListState",
            "DisjunctiveConstraint",
1022
1023
1024
1025
1026
            "EncoderNoRepeatNGramLogitsProcessor",
            "EncoderRepetitionPenaltyLogitsProcessor",
            "EpsilonLogitsWarper",
            "EtaLogitsWarper",
            "ExponentialDecayLengthPenalty",
1027
1028
            "ForcedBOSTokenLogitsProcessor",
            "ForcedEOSTokenLogitsProcessor",
1029
            "ForceTokensLogitsProcessor",
1030
            "GenerationMixin",
1031
1032
            "HammingDiversityLogitsProcessor",
            "InfNanRemoveLogitsProcessor",
1033
            "LogitNormalization",
1034
1035
1036
            "LogitsProcessor",
            "LogitsProcessorList",
            "LogitsWarper",
1037
1038
            "MaxLengthCriteria",
            "MaxTimeCriteria",
1039
            "MinLengthLogitsProcessor",
1040
            "MinNewTokensLengthLogitsProcessor",
1041
1042
            "NoBadWordsLogitsProcessor",
            "NoRepeatNGramLogitsProcessor",
1043
            "PhrasalConstraint",
1044
1045
            "PrefixConstrainedLogitsProcessor",
            "RepetitionPenaltyLogitsProcessor",
1046
            "SequenceBiasLogitsProcessor",
1047
1048
            "StoppingCriteria",
            "StoppingCriteriaList",
1049
1050
            "SuppressTokensAtBeginLogitsProcessor",
            "SuppressTokensLogitsProcessor",
1051
1052
1053
1054
            "TemperatureLogitsWarper",
            "TopKLogitsWarper",
            "TopPLogitsWarper",
            "TypicalLogitsWarper",
1055
1056
            "UnbatchedClassifierFreeGuidanceLogitsProcessor",
            "WhisperTimeStampLogitsProcessor",
1057
1058
1059
            "top_k_top_p_filtering",
        ]
    )
1060
    _import_structure["generation_utils"] = []
1061
    _import_structure["modeling_outputs"] = []
1062
    _import_structure["modeling_utils"] = ["PreTrainedModel"]
Suraj Patil's avatar
Suraj Patil committed
1063

NielsRogge's avatar
NielsRogge committed
1064
    # PyTorch models structure
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
    _import_structure["models.albert"].extend(
        [
            "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlbertForMaskedLM",
            "AlbertForMultipleChoice",
            "AlbertForPreTraining",
            "AlbertForQuestionAnswering",
            "AlbertForSequenceClassification",
            "AlbertForTokenClassification",
            "AlbertModel",
            "AlbertPreTrainedModel",
            "load_tf_weights_in_albert",
        ]
    )
1079
1080
1081
1082
1083
1084
1085
1086
1087
    _import_structure["models.align"].extend(
        [
            "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlignModel",
            "AlignPreTrainedModel",
            "AlignTextModel",
            "AlignVisionModel",
        ]
    )
Jongjyh's avatar
Jongjyh committed
1088
1089
1090
1091
1092
1093
1094
1095
1096
    _import_structure["models.altclip"].extend(
        [
            "ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AltCLIPModel",
            "AltCLIPPreTrainedModel",
            "AltCLIPTextModel",
            "AltCLIPVisionModel",
        ]
    )
1097
1098
1099
    _import_structure["models.audio_spectrogram_transformer"].extend(
        [
            "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
1100
            "ASTForAudioClassification",
1101
1102
1103
1104
            "ASTModel",
            "ASTPreTrainedModel",
        ]
    )
1105
1106
    _import_structure["models.auto"].extend(
        [
1107
            "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
1108
            "MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING",
1109
            "MODEL_FOR_AUDIO_XVECTOR_MAPPING",
1110
            "MODEL_FOR_BACKBONE_MAPPING",
NielsRogge's avatar
NielsRogge committed
1111
            "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING",
1112
            "MODEL_FOR_CAUSAL_LM_MAPPING",
1113
            "MODEL_FOR_CTC_MAPPING",
1114
            "MODEL_FOR_DEPTH_ESTIMATION_MAPPING",
1115
            "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
1116
            "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
1117
            "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
1118
            "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
1119
            "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
1120
            "MODEL_FOR_MASKED_LM_MAPPING",
1121
            "MODEL_FOR_MASK_GENERATION_MAPPING",
1122
1123
            "MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
NielsRogge's avatar
NielsRogge committed
1124
            "MODEL_FOR_OBJECT_DETECTION_MAPPING",
1125
1126
            "MODEL_FOR_PRETRAINING_MAPPING",
            "MODEL_FOR_QUESTION_ANSWERING_MAPPING",
1127
            "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
1128
1129
            "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
1130
            "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
1131
            "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
1132
            "MODEL_FOR_TEXT_ENCODING_MAPPING",
1133
1134
            "MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING",
            "MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING",
1135
            "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
1136
            "MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
1137
            "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING",
1138
            "MODEL_FOR_VISION_2_SEQ_MAPPING",
1139
            "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING",
1140
            "MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
1141
            "MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING",
1142
1143
            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
1144
            "AutoBackbone",
1145
            "AutoModel",
1146
            "AutoModelForAudioClassification",
1147
1148
            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
1149
            "AutoModelForCausalLM",
1150
            "AutoModelForCTC",
1151
            "AutoModelForDepthEstimation",
1152
            "AutoModelForDocumentQuestionAnswering",
1153
            "AutoModelForImageClassification",
1154
            "AutoModelForImageSegmentation",
1155
            "AutoModelForInstanceSegmentation",
NielsRogge's avatar
NielsRogge committed
1156
            "AutoModelForMaskedImageModeling",
1157
            "AutoModelForMaskedLM",
1158
            "AutoModelForMaskGeneration",
1159
1160
            "AutoModelForMultipleChoice",
            "AutoModelForNextSentencePrediction",
1161
            "AutoModelForObjectDetection",
1162
1163
            "AutoModelForPreTraining",
            "AutoModelForQuestionAnswering",
1164
            "AutoModelForSemanticSegmentation",
1165
1166
            "AutoModelForSeq2SeqLM",
            "AutoModelForSequenceClassification",
1167
            "AutoModelForSpeechSeq2Seq",
1168
            "AutoModelForTableQuestionAnswering",
1169
            "AutoModelForTextEncoding",
1170
1171
            "AutoModelForTextToSpectrogram",
            "AutoModelForTextToWaveform",
1172
            "AutoModelForTokenClassification",
1173
            "AutoModelForUniversalSegmentation",
NielsRogge's avatar
NielsRogge committed
1174
            "AutoModelForVideoClassification",
1175
            "AutoModelForVision2Seq",
1176
            "AutoModelForVisualQuestionAnswering",
1177
            "AutoModelForZeroShotImageClassification",
1178
            "AutoModelForZeroShotObjectDetection",
1179
            "AutoModelWithLMHead",
1180
1181
        ]
    )
1182
1183
1184
1185
1186
1187
1188
1189
    _import_structure["models.autoformer"].extend(
        [
            "AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AutoformerForPrediction",
            "AutoformerModel",
            "AutoformerPreTrainedModel",
        ]
    )
Yoach Lacombe's avatar
Yoach Lacombe committed
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
    _import_structure["models.bark"].extend(
        [
            "BARK_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BarkCausalModel",
            "BarkCoarseModel",
            "BarkFineModel",
            "BarkModel",
            "BarkPreTrainedModel",
            "BarkSemanticModel",
        ]
    )
1201
1202
1203
    _import_structure["models.bart"].extend(
        [
            "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
1204
            "BartForCausalLM",
1205
1206
1207
1208
1209
            "BartForConditionalGeneration",
            "BartForQuestionAnswering",
            "BartForSequenceClassification",
            "BartModel",
            "BartPretrainedModel",
1210
            "BartPreTrainedModel",
1211
1212
1213
            "PretrainedBartModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1214
1215
1216
1217
1218
    _import_structure["models.beit"].extend(
        [
            "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BeitForImageClassification",
            "BeitForMaskedImageModeling",
1219
            "BeitForSemanticSegmentation",
NielsRogge's avatar
NielsRogge committed
1220
1221
1222
1223
            "BeitModel",
            "BeitPreTrainedModel",
        ]
    )
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
    _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",
1245
            "BertGenerationPreTrainedModel",
1246
1247
1248
            "load_tf_weights_in_bert_generation",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
    _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
1265
1266
1267
1268
1269
1270
1271
1272
    _import_structure["models.bigbird_pegasus"].extend(
        [
            "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdPegasusForCausalLM",
            "BigBirdPegasusForConditionalGeneration",
            "BigBirdPegasusForQuestionAnswering",
            "BigBirdPegasusForSequenceClassification",
            "BigBirdPegasusModel",
1273
            "BigBirdPegasusPreTrainedModel",
Vasudev Gupta's avatar
Vasudev Gupta committed
1274
1275
        ]
    )
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
1276
1277
1278
1279
    _import_structure["models.biogpt"].extend(
        [
            "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BioGptForCausalLM",
1280
            "BioGptForSequenceClassification",
1281
            "BioGptForTokenClassification",
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
1282
1283
1284
1285
            "BioGptModel",
            "BioGptPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1286
1287
1288
1289
1290
1291
1292
1293
1294
    _import_structure["models.bit"].extend(
        [
            "BIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BitBackbone",
            "BitForImageClassification",
            "BitModel",
            "BitPreTrainedModel",
        ]
    )
1295
1296
1297
    _import_structure["models.blenderbot"].extend(
        [
            "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1298
            "BlenderbotForCausalLM",
1299
1300
            "BlenderbotForConditionalGeneration",
            "BlenderbotModel",
1301
            "BlenderbotPreTrainedModel",
1302
1303
1304
1305
1306
        ]
    )
    _import_structure["models.blenderbot_small"].extend(
        [
            "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1307
            "BlenderbotSmallForCausalLM",
1308
1309
            "BlenderbotSmallForConditionalGeneration",
            "BlenderbotSmallModel",
1310
            "BlenderbotSmallPreTrainedModel",
1311
1312
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
    _import_structure["models.blip"].extend(
        [
            "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BlipForConditionalGeneration",
            "BlipForImageTextRetrieval",
            "BlipForQuestionAnswering",
            "BlipModel",
            "BlipPreTrainedModel",
            "BlipTextModel",
            "BlipVisionModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1325
1326
1327
1328
    _import_structure["models.blip_2"].extend(
        [
            "BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Blip2ForConditionalGeneration",
1329
            "Blip2Model",
NielsRogge's avatar
NielsRogge committed
1330
1331
1332
1333
1334
            "Blip2PreTrainedModel",
            "Blip2QFormerModel",
            "Blip2VisionModel",
        ]
    )
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
    _import_structure["models.bloom"].extend(
        [
            "BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BloomForCausalLM",
            "BloomForQuestionAnswering",
            "BloomForSequenceClassification",
            "BloomForTokenClassification",
            "BloomModel",
            "BloomPreTrainedModel",
        ]
    )
1346
1347
1348
    _import_structure["models.bridgetower"].extend(
        [
            "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
1349
            "BridgeTowerForContrastiveLearning",
1350
1351
1352
1353
1354
1355
            "BridgeTowerForImageAndTextRetrieval",
            "BridgeTowerForMaskedLM",
            "BridgeTowerModel",
            "BridgeTowerPreTrainedModel",
        ]
    )
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
1366
            "CamembertPreTrainedModel",
1367
1368
        ]
    )
NielsRogge's avatar
NielsRogge committed
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
    _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
1382
1383
1384
1385
1386
1387
1388
1389
1390
    _import_structure["models.chinese_clip"].extend(
        [
            "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ChineseCLIPModel",
            "ChineseCLIPPreTrainedModel",
            "ChineseCLIPTextModel",
            "ChineseCLIPVisionModel",
        ]
    )
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
    _import_structure["models.clap"].extend(
        [
            "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ClapAudioModel",
            "ClapAudioModelWithProjection",
            "ClapFeatureExtractor",
            "ClapModel",
            "ClapPreTrainedModel",
            "ClapTextModel",
            "ClapTextModelWithProjection",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1403
1404
1405
1406
1407
1408
    _import_structure["models.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
1409
            "CLIPTextModelWithProjection",
Suraj Patil's avatar
Suraj Patil committed
1410
            "CLIPVisionModel",
1411
            "CLIPVisionModelWithProjection",
Suraj Patil's avatar
Suraj Patil committed
1412
1413
        ]
    )
NielsRogge's avatar
NielsRogge committed
1414
1415
1416
    _import_structure["models.clipseg"].extend(
        [
            "CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST",
1417
            "CLIPSegForImageSegmentation",
NielsRogge's avatar
NielsRogge committed
1418
1419
1420
1421
1422
1423
            "CLIPSegModel",
            "CLIPSegPreTrainedModel",
            "CLIPSegTextModel",
            "CLIPSegVisionModel",
        ]
    )
1424
    _import_structure["models.codegen"].extend(
NielsRogge's avatar
NielsRogge committed
1425
        [
1426
1427
1428
1429
            "CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CodeGenForCausalLM",
            "CodeGenModel",
            "CodeGenPreTrainedModel",
NielsRogge's avatar
NielsRogge committed
1430
1431
        ]
    )
1432
1433
1434
1435
1436
1437
1438
1439
1440
    _import_structure["models.conditional_detr"].extend(
        [
            "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConditionalDetrForObjectDetection",
            "ConditionalDetrForSegmentation",
            "ConditionalDetrModel",
            "ConditionalDetrPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
    _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
1455
1456
1457
    _import_structure["models.convnext"].extend(
        [
            "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
1458
            "ConvNextBackbone",
NielsRogge's avatar
NielsRogge committed
1459
1460
1461
1462
1463
            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
Alara Dirik's avatar
Alara Dirik committed
1464
1465
1466
1467
1468
1469
1470
1471
1472
    _import_structure["models.convnextv2"].extend(
        [
            "CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvNextV2Backbone",
            "ConvNextV2ForImageClassification",
            "ConvNextV2Model",
            "ConvNextV2PreTrainedModel",
        ]
    )
1473
1474
1475
1476
1477
1478
1479
1480
    _import_structure["models.cpmant"].extend(
        [
            "CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CpmAntForCausalLM",
            "CpmAntModel",
            "CpmAntPreTrainedModel",
        ]
    )
1481
1482
1483
1484
1485
1486
1487
1488
1489
    _import_structure["models.ctrl"].extend(
        [
            "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CTRLForSequenceClassification",
            "CTRLLMHeadModel",
            "CTRLModel",
            "CTRLPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1490
1491
1492
1493
1494
1495
1496
1497
    _import_structure["models.cvt"].extend(
        [
            "CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CvtForImageClassification",
            "CvtModel",
            "CvtPreTrainedModel",
        ]
    )
1498
1499
1500
1501
    _import_structure["models.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
1502
            "DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST",
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
1517
1518
1519
1520
            "Data2VecVisionForImageClassification",
            "Data2VecVisionForSemanticSegmentation",
            "Data2VecVisionModel",
            "Data2VecVisionPreTrainedModel",
1521
1522
        ]
    )
1523
1524
1525
    _import_structure["models.deberta"].extend(
        [
            "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1526
1527
            "DebertaForMaskedLM",
            "DebertaForQuestionAnswering",
1528
            "DebertaForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1529
            "DebertaForTokenClassification",
1530
1531
1532
1533
            "DebertaModel",
            "DebertaPreTrainedModel",
        ]
    )
1534
1535
1536
    _import_structure["models.deberta_v2"].extend(
        [
            "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1537
            "DebertaV2ForMaskedLM",
1538
            "DebertaV2ForMultipleChoice",
Sylvain Gugger's avatar
Sylvain Gugger committed
1539
            "DebertaV2ForQuestionAnswering",
1540
            "DebertaV2ForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1541
            "DebertaV2ForTokenClassification",
1542
1543
1544
1545
            "DebertaV2Model",
            "DebertaV2PreTrainedModel",
        ]
    )
1546
1547
1548
1549
1550
1551
1552
1553
1554
    _import_structure["models.decision_transformer"].extend(
        [
            "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DecisionTransformerGPT2Model",
            "DecisionTransformerGPT2PreTrainedModel",
            "DecisionTransformerModel",
            "DecisionTransformerPreTrainedModel",
        ]
    )
1555
1556
1557
1558
1559
1560
1561
1562
    _import_structure["models.deformable_detr"].extend(
        [
            "DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeformableDetrForObjectDetection",
            "DeformableDetrModel",
            "DeformableDetrPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1563
1564
1565
1566
1567
    _import_structure["models.deit"].extend(
        [
            "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeiTForImageClassification",
            "DeiTForImageClassificationWithTeacher",
NielsRogge's avatar
NielsRogge committed
1568
            "DeiTForMaskedImageModeling",
NielsRogge's avatar
NielsRogge committed
1569
1570
1571
1572
            "DeiTModel",
            "DeiTPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1573
1574
1575
1576
1577
1578
1579
1580
1581
    _import_structure["models.deprecated.mctct"].extend(
        [
            "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MCTCTForCTC",
            "MCTCTModel",
            "MCTCTPreTrainedModel",
        ]
    )
    _import_structure["models.deprecated.mmbt"].extend(["MMBTForClassification", "MMBTModel", "ModalEmbeddings"])
1582
1583
1584
    _import_structure["models.deprecated.open_llama"].extend(
        ["OpenLlamaForCausalLM", "OpenLlamaForSequenceClassification", "OpenLlamaModel", "OpenLlamaPreTrainedModel"]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
    _import_structure["models.deprecated.retribert"].extend(
        ["RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "RetriBertModel", "RetriBertPreTrainedModel"]
    )
    _import_structure["models.deprecated.trajectory_transformer"].extend(
        [
            "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TrajectoryTransformerModel",
            "TrajectoryTransformerPreTrainedModel",
        ]
    )
    _import_structure["models.deprecated.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1603
1604
1605
1606
1607
1608
1609
1610
    _import_structure["models.deta"].extend(
        [
            "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetaForObjectDetection",
            "DetaModel",
            "DetaPreTrainedModel",
        ]
    )
1611
1612
1613
1614
1615
1616
1617
1618
1619
    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
            "DetrPreTrainedModel",
        ]
    )
1620
1621
1622
    _import_structure["models.dinat"].extend(
        [
            "DINAT_PRETRAINED_MODEL_ARCHIVE_LIST",
1623
            "DinatBackbone",
1624
1625
1626
1627
1628
            "DinatForImageClassification",
            "DinatModel",
            "DinatPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1629
1630
1631
    _import_structure["models.dinov2"].extend(
        [
            "DINOV2_PRETRAINED_MODEL_ARCHIVE_LIST",
1632
            "Dinov2Backbone",
NielsRogge's avatar
NielsRogge committed
1633
1634
1635
1636
1637
            "Dinov2ForImageClassification",
            "Dinov2Model",
            "Dinov2PreTrainedModel",
        ]
    )
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
    _import_structure["models.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1650
1651
1652
1653
1654
1655
1656
    _import_structure["models.donut"].extend(
        [
            "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DonutSwinModel",
            "DonutSwinPreTrainedModel",
        ]
    )
1657
1658
1659
1660
1661
1662
1663
    _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",
1664
            "DPRPreTrainedModel",
1665
1666
1667
1668
1669
1670
            "DPRPretrainedQuestionEncoder",
            "DPRPretrainedReader",
            "DPRQuestionEncoder",
            "DPRReader",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1671
1672
1673
1674
1675
1676
1677
1678
1679
    _import_structure["models.dpt"].extend(
        [
            "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPTForDepthEstimation",
            "DPTForSemanticSegmentation",
            "DPTModel",
            "DPTPreTrainedModel",
        ]
    )
1680
1681
1682
1683
1684
1685
1686
1687
1688
    _import_structure["models.efficientformer"].extend(
        [
            "EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientFormerForImageClassification",
            "EfficientFormerForImageClassificationWithTeacher",
            "EfficientFormerModel",
            "EfficientFormerPreTrainedModel",
        ]
    )
Alara Dirik's avatar
Alara Dirik committed
1689
1690
1691
1692
1693
1694
1695
1696
    _import_structure["models.efficientnet"].extend(
        [
            "EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EfficientNetForImageClassification",
            "EfficientNetModel",
            "EfficientNetPreTrainedModel",
        ]
    )
1697
1698
1699
    _import_structure["models.electra"].extend(
        [
            "ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
1700
            "ElectraForCausalLM",
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
            "ElectraForMaskedLM",
            "ElectraForMultipleChoice",
            "ElectraForPreTraining",
            "ElectraForQuestionAnswering",
            "ElectraForSequenceClassification",
            "ElectraForTokenClassification",
            "ElectraModel",
            "ElectraPreTrainedModel",
            "load_tf_weights_in_electra",
        ]
    )
1712
1713
1714
1715
1716
1717
1718
    _import_structure["models.encodec"].extend(
        [
            "ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST",
            "EncodecModel",
            "EncodecPreTrainedModel",
        ]
    )
1719
    _import_structure["models.encoder_decoder"].append("EncoderDecoderModel")
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
    _import_structure["models.ernie"].extend(
        [
            "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieForCausalLM",
            "ErnieForMaskedLM",
            "ErnieForMultipleChoice",
            "ErnieForNextSentencePrediction",
            "ErnieForPreTraining",
            "ErnieForQuestionAnswering",
            "ErnieForSequenceClassification",
            "ErnieForTokenClassification",
            "ErnieModel",
            "ErniePreTrainedModel",
        ]
    )
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
    _import_structure["models.ernie_m"].extend(
        [
            "ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieMForInformationExtraction",
            "ErnieMForMultipleChoice",
            "ErnieMForQuestionAnswering",
            "ErnieMForSequenceClassification",
            "ErnieMForTokenClassification",
            "ErnieMModel",
            "ErnieMPreTrainedModel",
        ]
    )
1747
1748
1749
    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
Matt's avatar
Matt committed
1750
            "EsmFoldPreTrainedModel",
1751
            "EsmForMaskedLM",
Matt's avatar
Matt committed
1752
            "EsmForProteinFolding",
1753
1754
1755
1756
1757
1758
            "EsmForSequenceClassification",
            "EsmForTokenClassification",
            "EsmModel",
            "EsmPreTrainedModel",
        ]
    )
Matt's avatar
Matt committed
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
    _import_structure["models.falcon"].extend(
        [
            "FALCON_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FalconForCausalLM",
            "FalconForQuestionAnswering",
            "FalconForSequenceClassification",
            "FalconForTokenClassification",
            "FalconModel",
            "FalconPreTrainedModel",
        ]
    )
1770
1771
1772
1773
1774
1775
1776
1777
1778
    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
1779
            "FlaubertPreTrainedModel",
1780
            "FlaubertWithLMHeadModel",
1781
1782
        ]
    )
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
    _import_structure["models.flava"].extend(
        [
            "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlavaForPreTraining",
            "FlavaImageCodebook",
            "FlavaImageModel",
            "FlavaModel",
            "FlavaMultimodalModel",
            "FlavaPreTrainedModel",
            "FlavaTextModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
    _import_structure["models.fnet"].extend(
        [
            "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FNetForMaskedLM",
            "FNetForMultipleChoice",
            "FNetForNextSentencePrediction",
            "FNetForPreTraining",
            "FNetForQuestionAnswering",
            "FNetForSequenceClassification",
            "FNetForTokenClassification",
            "FNetLayer",
            "FNetModel",
            "FNetPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1810
1811
1812
    _import_structure["models.focalnet"].extend(
        [
            "FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST",
Alara Dirik's avatar
Alara Dirik committed
1813
            "FocalNetBackbone",
NielsRogge's avatar
NielsRogge committed
1814
1815
1816
1817
1818
1819
            "FocalNetForImageClassification",
            "FocalNetForMaskedImageModeling",
            "FocalNetModel",
            "FocalNetPreTrainedModel",
        ]
    )
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
    _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",
1832
            "FunnelPreTrainedModel",
1833
1834
1835
            "load_tf_weights_in_funnel",
        ]
    )
1836
1837
1838
1839
1840
1841
1842
1843
1844
    _import_structure["models.git"].extend(
        [
            "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GitForCausalLM",
            "GitModel",
            "GitPreTrainedModel",
            "GitVisionModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1845
1846
1847
1848
1849
1850
1851
1852
    _import_structure["models.glpn"].extend(
        [
            "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GLPNForDepthEstimation",
            "GLPNModel",
            "GLPNPreTrainedModel",
        ]
    )
1853
1854
1855
1856
    _import_structure["models.gpt2"].extend(
        [
            "GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPT2DoubleHeadsModel",
peter-sk's avatar
peter-sk committed
1857
            "GPT2ForQuestionAnswering",
1858
            "GPT2ForSequenceClassification",
1859
            "GPT2ForTokenClassification",
1860
1861
1862
1863
1864
1865
            "GPT2LMHeadModel",
            "GPT2Model",
            "GPT2PreTrainedModel",
            "load_tf_weights_in_gpt2",
        ]
    )
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
    _import_structure["models.gpt_bigcode"].extend(
        [
            "GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTBigCodeForCausalLM",
            "GPTBigCodeForSequenceClassification",
            "GPTBigCodeForTokenClassification",
            "GPTBigCodeModel",
            "GPTBigCodePreTrainedModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1876
1877
1878
1879
    _import_structure["models.gpt_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
peter-sk's avatar
peter-sk committed
1880
            "GPTNeoForQuestionAnswering",
1881
            "GPTNeoForSequenceClassification",
1882
            "GPTNeoForTokenClassification",
Suraj Patil's avatar
Suraj Patil committed
1883
1884
1885
1886
1887
            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
1888
1889
1890
1891
    _import_structure["models.gpt_neox"].extend(
        [
            "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXForCausalLM",
1892
            "GPTNeoXForQuestionAnswering",
1893
            "GPTNeoXForSequenceClassification",
1894
            "GPTNeoXForTokenClassification",
1895
1896
1897
1898
1899
            "GPTNeoXLayer",
            "GPTNeoXModel",
            "GPTNeoXPreTrainedModel",
        ]
    )
1900
1901
1902
1903
1904
1905
1906
1907
1908
    _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
1909
1910
1911
1912
    _import_structure["models.gptj"].extend(
        [
            "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTJForCausalLM",
1913
            "GPTJForQuestionAnswering",
Stella Biderman's avatar
Stella Biderman committed
1914
1915
1916
1917
1918
            "GPTJForSequenceClassification",
            "GPTJModel",
            "GPTJPreTrainedModel",
        ]
    )
1919
1920
1921
1922
1923
1924
1925
1926
    _import_structure["models.gptsan_japanese"].extend(
        [
            "GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTSanJapaneseForConditionalGeneration",
            "GPTSanJapaneseModel",
            "GPTSanJapanesePreTrainedModel",
        ]
    )
1927
1928
1929
1930
1931
1932
1933
1934
    _import_structure["models.graphormer"].extend(
        [
            "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GraphormerForGraphClassification",
            "GraphormerModel",
            "GraphormerPreTrainedModel",
        ]
    )
1935
1936
1937
1938
1939
1940
1941
1942
1943
    _import_structure["models.groupvit"].extend(
        [
            "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GroupViTModel",
            "GroupViTPreTrainedModel",
            "GroupViTTextModel",
            "GroupViTVisionModel",
        ]
    )
Patrick von Platen's avatar
Patrick von Platen committed
1944
1945
1946
1947
    _import_structure["models.hubert"].extend(
        [
            "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "HubertForCTC",
1948
            "HubertForSequenceClassification",
Patrick von Platen's avatar
Patrick von Platen committed
1949
1950
1951
1952
            "HubertModel",
            "HubertPreTrainedModel",
        ]
    )
Sehoon Kim's avatar
Sehoon Kim committed
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
    _import_structure["models.ibert"].extend(
        [
            "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IBertForMaskedLM",
            "IBertForMultipleChoice",
            "IBertForQuestionAnswering",
            "IBertForSequenceClassification",
            "IBertForTokenClassification",
            "IBertModel",
            "IBertPreTrainedModel",
        ]
    )
1965
1966
1967
1968
1969
1970
1971
1972
1973
    _import_structure["models.idefics"].extend(
        [
            "IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IdeficsForVisionText2Text",
            "IdeficsModel",
            "IdeficsPreTrainedModel",
            "IdeficsProcessor",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1974
1975
1976
    _import_structure["models.imagegpt"].extend(
        [
            "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
1977
            "ImageGPTForCausalImageModeling",
NielsRogge's avatar
NielsRogge committed
1978
1979
1980
1981
1982
1983
            "ImageGPTForImageClassification",
            "ImageGPTModel",
            "ImageGPTPreTrainedModel",
            "load_tf_weights_in_imagegpt",
        ]
    )
1984
1985
1986
1987
1988
1989
1990
1991
    _import_structure["models.informer"].extend(
        [
            "INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "InformerForPrediction",
            "InformerModel",
            "InformerPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1992
1993
1994
1995
1996
1997
1998
1999
2000
    _import_structure["models.instructblip"].extend(
        [
            "INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "InstructBlipForConditionalGeneration",
            "InstructBlipPreTrainedModel",
            "InstructBlipQFormerModel",
            "InstructBlipVisionModel",
        ]
    )
2001
2002
2003
2004
2005
2006
    _import_structure["models.jukebox"].extend(
        [
            "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "JukeboxModel",
            "JukeboxPreTrainedModel",
            "JukeboxPrior",
2007
            "JukeboxVQVAE",
2008
2009
        ]
    )
2010
2011
2012
2013
    _import_structure["models.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
2014
            "LayoutLMForQuestionAnswering",
NielsRogge's avatar
NielsRogge committed
2015
            "LayoutLMForSequenceClassification",
2016
2017
            "LayoutLMForTokenClassification",
            "LayoutLMModel",
2018
            "LayoutLMPreTrainedModel",
2019
2020
        ]
    )
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
    _import_structure["models.layoutlmv2"].extend(
        [
            "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv2ForQuestionAnswering",
            "LayoutLMv2ForSequenceClassification",
            "LayoutLMv2ForTokenClassification",
            "LayoutLMv2Model",
            "LayoutLMv2PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
    _import_structure["models.layoutlmv3"].extend(
        [
            "LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv3ForQuestionAnswering",
            "LayoutLMv3ForSequenceClassification",
            "LayoutLMv3ForTokenClassification",
            "LayoutLMv3Model",
            "LayoutLMv3PreTrainedModel",
        ]
    )
2041
2042
2043
2044
2045
2046
2047
    _import_structure["models.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
2048
            "LEDPreTrainedModel",
2049
2050
        ]
    )
2051
2052
2053
2054
2055
2056
2057
2058
2059
    _import_structure["models.levit"].extend(
        [
            "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LevitForImageClassification",
            "LevitForImageClassificationWithTeacher",
            "LevitModel",
            "LevitPreTrainedModel",
        ]
    )
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
    _import_structure["models.lilt"].extend(
        [
            "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LiltForQuestionAnswering",
            "LiltForSequenceClassification",
            "LiltForTokenClassification",
            "LiltModel",
            "LiltPreTrainedModel",
        ]
    )
Jason Phang's avatar
Jason Phang committed
2070
    _import_structure["models.llama"].extend(
2071
        ["LlamaForCausalLM", "LlamaForSequenceClassification", "LlamaModel", "LlamaPreTrainedModel"]
Jason Phang's avatar
Jason Phang committed
2072
    )
2073
2074
2075
2076
2077
2078
2079
2080
2081
    _import_structure["models.longformer"].extend(
        [
            "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongformerForMaskedLM",
            "LongformerForMultipleChoice",
            "LongformerForQuestionAnswering",
            "LongformerForSequenceClassification",
            "LongformerForTokenClassification",
            "LongformerModel",
2082
            "LongformerPreTrainedModel",
2083
2084
2085
            "LongformerSelfAttention",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
2086
2087
2088
2089
2090
2091
2092
2093
2094
    _import_structure["models.longt5"].extend(
        [
            "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongT5EncoderModel",
            "LongT5ForConditionalGeneration",
            "LongT5Model",
            "LongT5PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2095
2096
2097
2098
2099
2100
    _import_structure["models.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
2101
            "LukeForMaskedLM",
2102
2103
2104
2105
            "LukeForMultipleChoice",
            "LukeForQuestionAnswering",
            "LukeForSequenceClassification",
            "LukeForTokenClassification",
NielsRogge's avatar
NielsRogge committed
2106
2107
2108
2109
            "LukeModel",
            "LukePreTrainedModel",
        ]
    )
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
2120
    _import_structure["models.lxmert"].extend(
        [
            "LxmertEncoder",
            "LxmertForPreTraining",
            "LxmertForQuestionAnswering",
            "LxmertModel",
            "LxmertPreTrainedModel",
            "LxmertVisualFeatureEncoder",
            "LxmertXLayer",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2121
2122
2123
2124
2125
    _import_structure["models.m2m_100"].extend(
        [
            "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
            "M2M100ForConditionalGeneration",
            "M2M100Model",
2126
            "M2M100PreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
2127
2128
2129
        ]
    )
    _import_structure["models.marian"].extend(["MarianForCausalLM", "MarianModel", "MarianMTModel"])
NielsRogge's avatar
NielsRogge committed
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
    _import_structure["models.markuplm"].extend(
        [
            "MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MarkupLMForQuestionAnswering",
            "MarkupLMForSequenceClassification",
            "MarkupLMForTokenClassification",
            "MarkupLMModel",
            "MarkupLMPreTrainedModel",
        ]
    )
Alara Dirik's avatar
Alara Dirik committed
2140
2141
2142
2143
2144
2145
2146
2147
    _import_structure["models.mask2former"].extend(
        [
            "MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Mask2FormerForUniversalSegmentation",
            "Mask2FormerModel",
            "Mask2FormerPreTrainedModel",
        ]
    )
2148
2149
2150
2151
2152
2153
2154
2155
2156
    _import_structure["models.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
            "MaskFormerSwinBackbone",
        ]
    )
2157
2158
    _import_structure["models.mbart"].extend(
        [
2159
            "MBartForCausalLM",
2160
2161
2162
2163
            "MBartForConditionalGeneration",
            "MBartForQuestionAnswering",
            "MBartForSequenceClassification",
            "MBartModel",
2164
            "MBartPreTrainedModel",
2165
2166
        ]
    )
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
    _import_structure["models.mega"].extend(
        [
            "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegaForCausalLM",
            "MegaForMaskedLM",
            "MegaForMultipleChoice",
            "MegaForQuestionAnswering",
            "MegaForSequenceClassification",
            "MegaForTokenClassification",
            "MegaModel",
            "MegaPreTrainedModel",
        ]
    )
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
    _import_structure["models.megatron_bert"].extend(
        [
            "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegatronBertForCausalLM",
            "MegatronBertForMaskedLM",
            "MegatronBertForMultipleChoice",
            "MegatronBertForNextSentencePrediction",
            "MegatronBertForPreTraining",
            "MegatronBertForQuestionAnswering",
            "MegatronBertForSequenceClassification",
            "MegatronBertForTokenClassification",
            "MegatronBertModel",
2192
            "MegatronBertPreTrainedModel",
2193
2194
        ]
    )
wangpeng's avatar
wangpeng committed
2195
2196
2197
2198
2199
2200
2201
2202
    _import_structure["models.mgp_str"].extend(
        [
            "MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MgpstrForSceneTextRecognition",
            "MgpstrModel",
            "MgpstrPreTrainedModel",
        ]
    )
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
    _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",
        ]
    )
2219
2220
2221
2222
2223
2224
2225
2226
2227
    _import_structure["models.mobilenet_v1"].extend(
        [
            "MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV1ForImageClassification",
            "MobileNetV1Model",
            "MobileNetV1PreTrainedModel",
            "load_tf_weights_in_mobilenet_v1",
        ]
    )
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
    _import_structure["models.mobilenet_v2"].extend(
        [
            "MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileNetV2ForImageClassification",
            "MobileNetV2ForSemanticSegmentation",
            "MobileNetV2Model",
            "MobileNetV2PreTrainedModel",
            "load_tf_weights_in_mobilenet_v2",
        ]
    )
2238
2239
2240
2241
2242
2243
2244
2245
2246
    _import_structure["models.mobilevit"].extend(
        [
            "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTForImageClassification",
            "MobileViTForSemanticSegmentation",
            "MobileViTModel",
            "MobileViTPreTrainedModel",
        ]
    )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
2247
2248
2249
2250
2251
2252
2253
2254
2255
    _import_structure["models.mobilevitv2"].extend(
        [
            "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTV2ForImageClassification",
            "MobileViTV2ForSemanticSegmentation",
            "MobileViTV2Model",
            "MobileViTV2PreTrainedModel",
        ]
    )
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
    _import_structure["models.mpt"].extend(
        [
            "MPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MptForCausalLM",
            "MptForQuestionAnswering",
            "MptForSequenceClassification",
            "MptForTokenClassification",
            "MptModel",
            "MptPreTrainedModel",
        ]
    )
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
    _import_structure["models.mra"].extend(
        [
            "MRA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MraForMaskedLM",
            "MraForMultipleChoice",
            "MraForQuestionAnswering",
            "MraForSequenceClassification",
            "MraForTokenClassification",
            "MraModel",
            "MraPreTrainedModel",
        ]
    )
2292
    _import_structure["models.mt5"].extend(
2293
2294
2295
2296
2297
2298
2299
2300
        [
            "MT5EncoderModel",
            "MT5ForConditionalGeneration",
            "MT5ForQuestionAnswering",
            "MT5ForSequenceClassification",
            "MT5Model",
            "MT5PreTrainedModel",
        ]
2301
    )
Sanchit Gandhi's avatar
Sanchit Gandhi committed
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
    _import_structure["models.musicgen"].extend(
        [
            "MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MusicgenForCausalLM",
            "MusicgenForConditionalGeneration",
            "MusicgenModel",
            "MusicgenPreTrainedModel",
            "MusicgenProcessor",
        ]
    )
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
    _import_structure["models.mvp"].extend(
        [
            "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MvpForCausalLM",
            "MvpForConditionalGeneration",
            "MvpForQuestionAnswering",
            "MvpForSequenceClassification",
            "MvpModel",
            "MvpPreTrainedModel",
        ]
    )
2323
2324
2325
    _import_structure["models.nat"].extend(
        [
            "NAT_PRETRAINED_MODEL_ARCHIVE_LIST",
2326
            "NatBackbone",
2327
2328
2329
2330
2331
            "NatForImageClassification",
            "NatModel",
            "NatPreTrainedModel",
        ]
    )
2332
2333
2334
2335
2336
    _import_structure["models.nezha"].extend(
        [
            "NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NezhaForMaskedLM",
            "NezhaForMultipleChoice",
2337
2338
            "NezhaForNextSentencePrediction",
            "NezhaForPreTraining",
2339
2340
2341
2342
2343
2344
2345
            "NezhaForQuestionAnswering",
            "NezhaForSequenceClassification",
            "NezhaForTokenClassification",
            "NezhaModel",
            "NezhaPreTrainedModel",
        ]
    )
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
    _import_structure["models.nllb_moe"].extend(
        [
            "NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NllbMoeForConditionalGeneration",
            "NllbMoeModel",
            "NllbMoePreTrainedModel",
            "NllbMoeSparseMLP",
            "NllbMoeTop2Router",
        ]
    )
novice's avatar
novice committed
2356
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
    _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
2369
2370
2371
2372
2373
2374
2375
2376
    _import_structure["models.oneformer"].extend(
        [
            "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OneFormerForUniversalSegmentation",
            "OneFormerModel",
            "OneFormerPreTrainedModel",
        ]
    )
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
    _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
2388
2389
2390
2391
    _import_structure["models.opt"].extend(
        [
            "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OPTForCausalLM",
2392
2393
            "OPTForQuestionAnswering",
            "OPTForSequenceClassification",
Younes Belkada's avatar
Younes Belkada committed
2394
2395
2396
2397
            "OPTModel",
            "OPTPreTrainedModel",
        ]
    )
2398
2399
2400
    _import_structure["models.owlvit"].extend(
        [
            "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
2401
            "OwlViTForObjectDetection",
2402
2403
2404
2405
2406
2407
            "OwlViTModel",
            "OwlViTPreTrainedModel",
            "OwlViTTextModel",
            "OwlViTVisionModel",
        ]
    )
2408
    _import_structure["models.pegasus"].extend(
2409
        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
2410
    )
Jason Phang's avatar
Jason Phang committed
2411
2412
2413
2414
2415
2416
2417
2418
    _import_structure["models.pegasus_x"].extend(
        [
            "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PegasusXForConditionalGeneration",
            "PegasusXModel",
            "PegasusXPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
    _import_structure["models.perceiver"].extend(
        [
            "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PerceiverForImageClassificationConvProcessing",
            "PerceiverForImageClassificationFourier",
            "PerceiverForImageClassificationLearned",
            "PerceiverForMaskedLM",
            "PerceiverForMultimodalAutoencoding",
            "PerceiverForOpticalFlow",
            "PerceiverForSequenceClassification",
            "PerceiverLayer",
            "PerceiverModel",
            "PerceiverPreTrainedModel",
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
2434
2435
2436
2437
2438
2439
2440
2441
2442
    _import_structure["models.pix2struct"].extend(
        [
            "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Pix2StructForConditionalGeneration",
            "Pix2StructPreTrainedModel",
            "Pix2StructTextModel",
            "Pix2StructVisionModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
    _import_structure["models.plbart"].extend(
        [
            "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PLBartForCausalLM",
            "PLBartForConditionalGeneration",
            "PLBartForSequenceClassification",
            "PLBartModel",
            "PLBartPreTrainedModel",
        ]
    )
Tanay Mehta's avatar
Tanay Mehta committed
2453
2454
2455
2456
2457
2458
2459
2460
    _import_structure["models.poolformer"].extend(
        [
            "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PoolFormerForImageClassification",
            "PoolFormerModel",
            "PoolFormerPreTrainedModel",
        ]
    )
Susnato Dhar's avatar
Susnato Dhar committed
2461
2462
2463
2464
2465
2466
2467
    _import_structure["models.pop2piano"].extend(
        [
            "POP2PIANO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Pop2PianoForConditionalGeneration",
            "Pop2PianoPreTrainedModel",
        ]
    )
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
    _import_structure["models.prophetnet"].extend(
        [
            "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ProphetNetDecoder",
            "ProphetNetEncoder",
            "ProphetNetForCausalLM",
            "ProphetNetForConditionalGeneration",
            "ProphetNetModel",
            "ProphetNetPreTrainedModel",
        ]
    )
Rinat's avatar
Rinat committed
2479
2480
2481
2482
2483
2484
2485
2486
    _import_structure["models.pvt"].extend(
        [
            "PVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PvtForImageClassification",
            "PvtModel",
            "PvtPreTrainedModel",
        ]
    )
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
    _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",
        ]
    )
2503
2504
2505
    _import_structure["models.rag"].extend(
        ["RagModel", "RagPreTrainedModel", "RagSequenceForGeneration", "RagTokenForGeneration"]
    )
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
    _import_structure["models.realm"].extend(
        [
            "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RealmEmbedder",
            "RealmForOpenQA",
            "RealmKnowledgeAugEncoder",
            "RealmPreTrainedModel",
            "RealmReader",
            "RealmRetriever",
            "RealmScorer",
            "load_tf_weights_in_realm",
        ]
    )
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
    _import_structure["models.reformer"].extend(
        [
            "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ReformerAttention",
            "ReformerForMaskedLM",
            "ReformerForQuestionAnswering",
            "ReformerForSequenceClassification",
            "ReformerLayer",
            "ReformerModel",
            "ReformerModelWithLMHead",
2529
            "ReformerPreTrainedModel",
2530
2531
        ]
    )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
2532
2533
2534
2535
2536
2537
2538
2539
    _import_structure["models.regnet"].extend(
        [
            "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RegNetForImageClassification",
            "RegNetModel",
            "RegNetPreTrainedModel",
        ]
    )
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
    _import_structure["models.rembert"].extend(
        [
            "REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RemBertForCausalLM",
            "RemBertForMaskedLM",
            "RemBertForMultipleChoice",
            "RemBertForQuestionAnswering",
            "RemBertForSequenceClassification",
            "RemBertForTokenClassification",
            "RemBertLayer",
            "RemBertModel",
            "RemBertPreTrainedModel",
            "load_tf_weights_in_rembert",
        ]
    )
2555
2556
2557
    _import_structure["models.resnet"].extend(
        [
            "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
2558
            "ResNetBackbone",
2559
2560
2561
2562
2563
            "ResNetForImageClassification",
            "ResNetModel",
            "ResNetPreTrainedModel",
        ]
    )
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
    _import_structure["models.roberta"].extend(
        [
            "ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaForCausalLM",
            "RobertaForMaskedLM",
            "RobertaForMultipleChoice",
            "RobertaForQuestionAnswering",
            "RobertaForSequenceClassification",
            "RobertaForTokenClassification",
            "RobertaModel",
2574
            "RobertaPreTrainedModel",
2575
2576
        ]
    )
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaPreLayerNormForCausalLM",
            "RobertaPreLayerNormForMaskedLM",
            "RobertaPreLayerNormForMultipleChoice",
            "RobertaPreLayerNormForQuestionAnswering",
            "RobertaPreLayerNormForSequenceClassification",
            "RobertaPreLayerNormForTokenClassification",
            "RobertaPreLayerNormModel",
            "RobertaPreLayerNormPreTrainedModel",
        ]
    )
2590
    _import_structure["models.roc_bert"].extend(
NielsRogge's avatar
NielsRogge committed
2591
        [
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
            "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
2604
2605
        ]
    )
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
    _import_structure["models.roformer"].extend(
        [
            "ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoFormerForCausalLM",
            "RoFormerForMaskedLM",
            "RoFormerForMultipleChoice",
            "RoFormerForQuestionAnswering",
            "RoFormerForSequenceClassification",
            "RoFormerForTokenClassification",
            "RoFormerLayer",
            "RoFormerModel",
            "RoFormerPreTrainedModel",
            "load_tf_weights_in_roformer",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2621
2622
2623
2624
2625
2626
2627
2628
    _import_structure["models.rwkv"].extend(
        [
            "RWKV_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RwkvForCausalLM",
            "RwkvModel",
            "RwkvPreTrainedModel",
        ]
    )
2629
2630
2631
2632
2633
2634
2635
    _import_structure["models.sam"].extend(
        [
            "SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SamModel",
            "SamPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
    _import_structure["models.segformer"].extend(
        [
            "SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SegformerDecodeHead",
            "SegformerForImageClassification",
            "SegformerForSemanticSegmentation",
            "SegformerLayer",
            "SegformerModel",
            "SegformerPreTrainedModel",
        ]
    )
2647
2648
2649
2650
    _import_structure["models.sew"].extend(
        [
            "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWForCTC",
2651
            "SEWForSequenceClassification",
2652
2653
2654
2655
2656
2657
2658
2659
            "SEWModel",
            "SEWPreTrainedModel",
        ]
    )
    _import_structure["models.sew_d"].extend(
        [
            "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWDForCTC",
2660
            "SEWDForSequenceClassification",
2661
2662
2663
2664
            "SEWDModel",
            "SEWDPreTrainedModel",
        ]
    )
2665
    _import_structure["models.speech_encoder_decoder"].extend(["SpeechEncoderDecoderModel"])
Sylvain Gugger's avatar
Sylvain Gugger committed
2666
2667
2668
2669
2670
    _import_structure["models.speech_to_text"].extend(
        [
            "SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Speech2TextForConditionalGeneration",
            "Speech2TextModel",
2671
            "Speech2TextPreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
2672
2673
        ]
    )
2674
    _import_structure["models.speech_to_text_2"].extend(["Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel"])
2675
2676
2677
2678
2679
2680
2681
2682
2683
2684
2685
    _import_structure["models.speecht5"].extend(
        [
            "SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SpeechT5ForSpeechToSpeech",
            "SpeechT5ForSpeechToText",
            "SpeechT5ForTextToSpeech",
            "SpeechT5HifiGan",
            "SpeechT5Model",
            "SpeechT5PreTrainedModel",
        ]
    )
Ori Ram's avatar
Ori Ram committed
2686
2687
2688
    _import_structure["models.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
2689
            "SplinterForPreTraining",
Ori Ram's avatar
Ori Ram committed
2690
2691
2692
2693
2694
2695
            "SplinterForQuestionAnswering",
            "SplinterLayer",
            "SplinterModel",
            "SplinterPreTrainedModel",
        ]
    )
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
    _import_structure["models.squeezebert"].extend(
        [
            "SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SqueezeBertForMaskedLM",
            "SqueezeBertForMultipleChoice",
            "SqueezeBertForQuestionAnswering",
            "SqueezeBertForSequenceClassification",
            "SqueezeBertForTokenClassification",
            "SqueezeBertModel",
            "SqueezeBertModule",
            "SqueezeBertPreTrainedModel",
        ]
    )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
2709
2710
2711
2712
2713
2714
2715
2716
    _import_structure["models.swiftformer"].extend(
        [
            "SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwiftFormerForImageClassification",
            "SwiftFormerModel",
            "SwiftFormerPreTrainedModel",
        ]
    )
novice's avatar
novice committed
2717
2718
2719
    _import_structure["models.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
2720
            "SwinBackbone",
novice's avatar
novice committed
2721
            "SwinForImageClassification",
NielsRogge's avatar
NielsRogge committed
2722
            "SwinForMaskedImageModeling",
novice's avatar
novice committed
2723
2724
2725
2726
            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2727
2728
2729
2730
2731
2732
2733
2734
    _import_structure["models.swin2sr"].extend(
        [
            "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swin2SRForImageSuperResolution",
            "Swin2SRModel",
            "Swin2SRPreTrainedModel",
        ]
    )
2735
2736
2737
2738
2739
2740
2741
2742
2743
    _import_structure["models.swinv2"].extend(
        [
            "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swinv2ForImageClassification",
            "Swinv2ForMaskedImageModeling",
            "Swinv2Model",
            "Swinv2PreTrainedModel",
        ]
    )
2744
    _import_structure["models.switch_transformers"].extend(
2745
        [
2746
2747
2748
2749
2750
2751
2752
            "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwitchTransformersEncoderModel",
            "SwitchTransformersForConditionalGeneration",
            "SwitchTransformersModel",
            "SwitchTransformersPreTrainedModel",
            "SwitchTransformersSparseMLP",
            "SwitchTransformersTop1Router",
2753
2754
        ]
    )
2755
2756
2757
2758
2759
    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
2760
            "T5ForQuestionAnswering",
2761
            "T5ForSequenceClassification",
2762
2763
2764
2765
2766
            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
2767
2768
2769
2770
2771
2772
2773
2774
    _import_structure["models.table_transformer"].extend(
        [
            "TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TableTransformerForObjectDetection",
            "TableTransformerModel",
            "TableTransformerPreTrainedModel",
        ]
    )
2775
    _import_structure["models.tapas"].extend(
2776
        [
2777
2778
2779
2780
2781
2782
2783
2784
2785
2786
2787
2788
2789
2790
2791
            "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",
2792
2793
        ]
    )
2794
2795
2796
2797
2798
2799
2800
2801
    _import_structure["models.timesformer"].extend(
        [
            "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TimesformerForVideoClassification",
            "TimesformerModel",
            "TimesformerPreTrainedModel",
        ]
    )
amyeroberts's avatar
amyeroberts committed
2802
    _import_structure["models.timm_backbone"].extend(["TimmBackbone"])
2803
2804
2805
2806
2807
2808
2809
2810
2811
2812
2813
    _import_structure["models.transfo_xl"].extend(
        [
            "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AdaptiveEmbedding",
            "TransfoXLForSequenceClassification",
            "TransfoXLLMHeadModel",
            "TransfoXLModel",
            "TransfoXLPreTrainedModel",
            "load_tf_weights_in_transfo_xl",
        ]
    )
2814
2815
2816
    _import_structure["models.trocr"].extend(
        ["TROCR_PRETRAINED_MODEL_ARCHIVE_LIST", "TrOCRForCausalLM", "TrOCRPreTrainedModel"]
    )
Zineng Tang's avatar
Zineng Tang committed
2817
2818
2819
2820
2821
2822
2823
2824
2825
    _import_structure["models.tvlt"].extend(
        [
            "TVLT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TvltForAudioVisualClassification",
            "TvltForPreTraining",
            "TvltModel",
            "TvltPreTrainedModel",
        ]
    )
2826
2827
2828
2829
2830
    _import_structure["models.umt5"].extend(
        [
            "UMT5EncoderModel",
            "UMT5ForConditionalGeneration",
            "UMT5ForQuestionAnswering",
2831
            "UMT5ForSequenceClassification",
2832
2833
2834
2835
            "UMT5Model",
            "UMT5PreTrainedModel",
        ]
    )
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
2848
    _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",
2849
            "UniSpeechSatForAudioFrameClassification",
2850
2851
2852
            "UniSpeechSatForCTC",
            "UniSpeechSatForPreTraining",
            "UniSpeechSatForSequenceClassification",
2853
            "UniSpeechSatForXVector",
2854
2855
2856
2857
            "UniSpeechSatModel",
            "UniSpeechSatPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2858
2859
2860
2861
2862
2863
    _import_structure["models.upernet"].extend(
        [
            "UperNetForSemanticSegmentation",
            "UperNetPreTrainedModel",
        ]
    )
2864
2865
2866
2867
2868
2869
2870
2871
2872
    _import_structure["models.videomae"].extend(
        [
            "VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VideoMAEForPreTraining",
            "VideoMAEForVideoClassification",
            "VideoMAEModel",
            "VideoMAEPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2873
2874
2875
2876
2877
2878
2879
    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
2880
            "ViltForTokenClassification",
NielsRogge's avatar
NielsRogge committed
2881
2882
2883
2884
2885
            "ViltLayer",
            "ViltModel",
            "ViltPreTrainedModel",
        ]
    )
2886
    _import_structure["models.vision_encoder_decoder"].extend(["VisionEncoderDecoderModel"])
Suraj Patil's avatar
Suraj Patil committed
2887
    _import_structure["models.vision_text_dual_encoder"].extend(["VisionTextDualEncoderModel"])
Gunjan Chhablani's avatar
Gunjan Chhablani committed
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
    _import_structure["models.visual_bert"].extend(
        [
            "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VisualBertForMultipleChoice",
            "VisualBertForPreTraining",
            "VisualBertForQuestionAnswering",
            "VisualBertForRegionToPhraseAlignment",
            "VisualBertForVisualReasoning",
            "VisualBertLayer",
            "VisualBertModel",
            "VisualBertPreTrainedModel",
        ]
    )
2901
2902
2903
2904
    _import_structure["models.vit"].extend(
        [
            "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTForImageClassification",
NielsRogge's avatar
NielsRogge committed
2905
            "ViTForMaskedImageModeling",
2906
2907
2908
2909
            "ViTModel",
            "ViTPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2910
2911
2912
2913
2914
2915
2916
2917
    _import_structure["models.vit_hybrid"].extend(
        [
            "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTHybridForImageClassification",
            "ViTHybridModel",
            "ViTHybridPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2918
2919
2920
2921
2922
2923
2924
2925
2926
    _import_structure["models.vit_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
2927
2928
2929
2930
    _import_structure["models.vit_msn"].extend(
        [
            "VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMSNForImageClassification",
2931
            "ViTMSNModel",
2932
2933
2934
            "ViTMSNPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2935
2936
2937
2938
2939
2940
2941
2942
    _import_structure["models.vitdet"].extend(
        [
            "VITDET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VitDetBackbone",
            "VitDetModel",
            "VitDetPreTrainedModel",
        ]
    )
Matthijs Hollemans's avatar
Matthijs Hollemans committed
2943
2944
2945
2946
2947
2948
2949
    _import_structure["models.vits"].extend(
        [
            "VITS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VitsModel",
            "VitsPreTrainedModel",
        ]
    )
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
2950
2951
2952
2953
2954
2955
2956
2957
    _import_structure["models.vivit"].extend(
        [
            "VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VivitForVideoClassification",
            "VivitModel",
            "VivitPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2958
2959
2960
    _import_structure["models.wav2vec2"].extend(
        [
            "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
2961
            "Wav2Vec2ForAudioFrameClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
2962
2963
            "Wav2Vec2ForCTC",
            "Wav2Vec2ForMaskedLM",
Anton Lozhkov's avatar
Anton Lozhkov committed
2964
            "Wav2Vec2ForPreTraining",
2965
            "Wav2Vec2ForSequenceClassification",
2966
            "Wav2Vec2ForXVector",
Sylvain Gugger's avatar
Sylvain Gugger committed
2967
2968
2969
2970
            "Wav2Vec2Model",
            "Wav2Vec2PreTrainedModel",
        ]
    )
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
    _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
2983
2984
2985
    _import_structure["models.wavlm"].extend(
        [
            "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
2986
            "WavLMForAudioFrameClassification",
Patrick von Platen's avatar
Patrick von Platen committed
2987
2988
            "WavLMForCTC",
            "WavLMForSequenceClassification",
2989
            "WavLMForXVector",
Patrick von Platen's avatar
Patrick von Platen committed
2990
2991
2992
2993
            "WavLMModel",
            "WavLMPreTrainedModel",
        ]
    )
2994
2995
2996
    _import_structure["models.whisper"].extend(
        [
            "WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
2997
            "WhisperForAudioClassification",
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
            "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
3012
3013
3014
3015
3016
3017
3018
3019
    _import_structure["models.xglm"].extend(
        [
            "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XGLMForCausalLM",
            "XGLMModel",
            "XGLMPreTrainedModel",
        ]
    )
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
3031
3032
3033
3034
3035
3036
3037
3038
3039
3040
    _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",
3041
            "XLMProphetNetPreTrainedModel",
3042
3043
3044
3045
3046
3047
3048
3049
3050
3051
3052
3053
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
3054
            "XLMRobertaPreTrainedModel",
3055
3056
        ]
    )
3057
3058
3059
3060
3061
3062
3063
3064
3065
3066
3067
3068
3069
    _import_structure["models.xlm_roberta_xl"].extend(
        [
            "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaXLForCausalLM",
            "XLMRobertaXLForMaskedLM",
            "XLMRobertaXLForMultipleChoice",
            "XLMRobertaXLForQuestionAnswering",
            "XLMRobertaXLForSequenceClassification",
            "XLMRobertaXLForTokenClassification",
            "XLMRobertaXLModel",
            "XLMRobertaXLPreTrainedModel",
        ]
    )
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
    _import_structure["models.xlnet"].extend(
        [
            "XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLNetForMultipleChoice",
            "XLNetForQuestionAnswering",
            "XLNetForQuestionAnsweringSimple",
            "XLNetForSequenceClassification",
            "XLNetForTokenClassification",
            "XLNetLMHeadModel",
            "XLNetModel",
            "XLNetPreTrainedModel",
            "load_tf_weights_in_xlnet",
        ]
    )
Jannis Vamvas's avatar
Jannis Vamvas committed
3084
3085
3086
3087
3088
3089
3090
3091
3092
3093
3094
3095
3096
    _import_structure["models.xmod"].extend(
        [
            "XMOD_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XmodForCausalLM",
            "XmodForMaskedLM",
            "XmodForMultipleChoice",
            "XmodForQuestionAnswering",
            "XmodForSequenceClassification",
            "XmodForTokenClassification",
            "XmodModel",
            "XmodPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
3097
3098
3099
3100
3101
3102
3103
3104
    _import_structure["models.yolos"].extend(
        [
            "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YolosForObjectDetection",
            "YolosModel",
            "YolosPreTrainedModel",
        ]
    )
novice's avatar
novice committed
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
    _import_structure["models.yoso"].extend(
        [
            "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YosoForMaskedLM",
            "YosoForMultipleChoice",
            "YosoForQuestionAnswering",
            "YosoForSequenceClassification",
            "YosoForTokenClassification",
            "YosoLayer",
            "YosoModel",
            "YosoPreTrainedModel",
        ]
    )
3118
3119
3120
3121
3122
3123
3124
    _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",
3125
        "get_inverse_sqrt_schedule",
3126
3127
3128
3129
        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
3130
    _import_structure["pytorch_utils"] = ["Conv1D", "apply_chunking_to_forward", "prune_layer"]
3131
    _import_structure["sagemaker"] = []
3132
    _import_structure["time_series_utils"] = []
3133
3134
3135
3136
3137
    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]

# TensorFlow-backed objects
3138
3139
3140
3141
3142
3143
3144
3145
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:
3146
    _import_structure["activations_tf"] = []
3147
3148
    _import_structure["benchmark.benchmark_args_tf"] = ["TensorFlowBenchmarkArguments"]
    _import_structure["benchmark.benchmark_tf"] = ["TensorFlowBenchmark"]
3149
3150
3151
3152
    _import_structure["generation"].extend(
        [
            "TFForcedBOSTokenLogitsProcessor",
            "TFForcedEOSTokenLogitsProcessor",
3153
            "TFForceTokensLogitsProcessor",
3154
            "TFGenerationMixin",
3155
3156
3157
3158
3159
3160
3161
            "TFLogitsProcessor",
            "TFLogitsProcessorList",
            "TFLogitsWarper",
            "TFMinLengthLogitsProcessor",
            "TFNoBadWordsLogitsProcessor",
            "TFNoRepeatNGramLogitsProcessor",
            "TFRepetitionPenaltyLogitsProcessor",
3162
3163
            "TFSuppressTokensAtBeginLogitsProcessor",
            "TFSuppressTokensLogitsProcessor",
3164
3165
3166
3167
3168
3169
            "TFTemperatureLogitsWarper",
            "TFTopKLogitsWarper",
            "TFTopPLogitsWarper",
            "tf_top_k_top_p_filtering",
        ]
    )
3170
    _import_structure["generation_tf_utils"] = []
3171
    _import_structure["keras_callbacks"] = ["KerasMetricCallback", "PushToHubCallback"]
3172
    _import_structure["modeling_tf_outputs"] = []
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
    _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",
        ]
3193
    )
3194
3195
    _import_structure["models.auto"].extend(
        [
3196
            "TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
3197
            "TF_MODEL_FOR_CAUSAL_LM_MAPPING",
3198
            "TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
Yih-Dar's avatar
Yih-Dar committed
3199
            "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
3200
            "TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
3201
            "TF_MODEL_FOR_MASKED_LM_MAPPING",
3202
            "TF_MODEL_FOR_MASK_GENERATION_MAPPING",
3203
3204
3205
3206
            "TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "TF_MODEL_FOR_PRETRAINING_MAPPING",
            "TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
3207
            "TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
3208
3209
            "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
Joao Gante's avatar
Joao Gante committed
3210
            "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
Kamal Raj's avatar
Kamal Raj committed
3211
            "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
3212
            "TF_MODEL_FOR_TEXT_ENCODING_MAPPING",
3213
            "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
3214
            "TF_MODEL_FOR_VISION_2_SEQ_MAPPING",
3215
            "TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING",
3216
3217
3218
            "TF_MODEL_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
3219
            "TFAutoModelForAudioClassification",
3220
            "TFAutoModelForCausalLM",
3221
            "TFAutoModelForDocumentQuestionAnswering",
Yih-Dar's avatar
Yih-Dar committed
3222
            "TFAutoModelForImageClassification",
3223
            "TFAutoModelForMaskedImageModeling",
3224
            "TFAutoModelForMaskedLM",
3225
            "TFAutoModelForMaskGeneration",
3226
            "TFAutoModelForMultipleChoice",
3227
            "TFAutoModelForNextSentencePrediction",
3228
3229
            "TFAutoModelForPreTraining",
            "TFAutoModelForQuestionAnswering",
3230
            "TFAutoModelForSemanticSegmentation",
3231
3232
            "TFAutoModelForSeq2SeqLM",
            "TFAutoModelForSequenceClassification",
Joao Gante's avatar
Joao Gante committed
3233
            "TFAutoModelForSpeechSeq2Seq",
Kamal Raj's avatar
Kamal Raj committed
3234
            "TFAutoModelForTableQuestionAnswering",
3235
            "TFAutoModelForTextEncoding",
3236
            "TFAutoModelForTokenClassification",
3237
            "TFAutoModelForVision2Seq",
3238
            "TFAutoModelForZeroShotImageClassification",
3239
3240
            "TFAutoModelWithLMHead",
        ]
Vasily Shamporov's avatar
Vasily Shamporov committed
3241
    )
3242
3243
3244
    _import_structure["models.bart"].extend(
        ["TFBartForConditionalGeneration", "TFBartForSequenceClassification", "TFBartModel", "TFBartPretrainedModel"]
    )
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
    _import_structure["models.bert"].extend(
        [
            "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBertEmbeddings",
            "TFBertForMaskedLM",
            "TFBertForMultipleChoice",
            "TFBertForNextSentencePrediction",
            "TFBertForPreTraining",
            "TFBertForQuestionAnswering",
            "TFBertForSequenceClassification",
            "TFBertForTokenClassification",
            "TFBertLMHeadModel",
            "TFBertMainLayer",
            "TFBertModel",
            "TFBertPreTrainedModel",
        ]
3261
    )
3262
3263
3264
    _import_structure["models.blenderbot"].extend(
        ["TFBlenderbotForConditionalGeneration", "TFBlenderbotModel", "TFBlenderbotPreTrainedModel"]
    )
3265
    _import_structure["models.blenderbot_small"].extend(
3266
        ["TFBlenderbotSmallForConditionalGeneration", "TFBlenderbotSmallModel", "TFBlenderbotSmallPreTrainedModel"]
3267
    )
Matt's avatar
Matt committed
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
    _import_structure["models.blip"].extend(
        [
            "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBlipForConditionalGeneration",
            "TFBlipForImageTextRetrieval",
            "TFBlipForQuestionAnswering",
            "TFBlipModel",
            "TFBlipPreTrainedModel",
            "TFBlipTextModel",
            "TFBlipVisionModel",
        ]
    )
3280
3281
3282
    _import_structure["models.camembert"].extend(
        [
            "TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
3283
            "TFCamembertForCausalLM",
3284
3285
3286
3287
3288
3289
            "TFCamembertForMaskedLM",
            "TFCamembertForMultipleChoice",
            "TFCamembertForQuestionAnswering",
            "TFCamembertForSequenceClassification",
            "TFCamembertForTokenClassification",
            "TFCamembertModel",
3290
            "TFCamembertPreTrainedModel",
3291
        ]
3292
    )
Yih-Dar's avatar
Yih-Dar committed
3293
3294
3295
3296
3297
3298
3299
3300
3301
    _import_structure["models.clip"].extend(
        [
            "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCLIPModel",
            "TFCLIPPreTrainedModel",
            "TFCLIPTextModel",
            "TFCLIPVisionModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
3302
3303
3304
3305
3306
3307
3308
3309
3310
3311
3312
3313
3314
    _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
3315
3316
3317
3318
3319
3320
3321
    _import_structure["models.convnext"].extend(
        [
            "TFConvNextForImageClassification",
            "TFConvNextModel",
            "TFConvNextPreTrainedModel",
        ]
    )
3322
3323
3324
3325
3326
3327
3328
3329
    _import_structure["models.ctrl"].extend(
        [
            "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCTRLForSequenceClassification",
            "TFCTRLLMHeadModel",
            "TFCTRLModel",
            "TFCTRLPreTrainedModel",
        ]
NielsRogge's avatar
NielsRogge committed
3330
    )
3331
3332
3333
3334
3335
3336
3337
3338
    _import_structure["models.cvt"].extend(
        [
            "TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCvtForImageClassification",
            "TFCvtModel",
            "TFCvtPreTrainedModel",
        ]
    )
3339
3340
3341
    _import_structure["models.data2vec"].extend(
        [
            "TFData2VecVisionForImageClassification",
3342
            "TFData2VecVisionForSemanticSegmentation",
3343
3344
3345
3346
            "TFData2VecVisionModel",
            "TFData2VecVisionPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
3347
3348
3349
3350
3351
3352
3353
3354
3355
3356
3357
    _import_structure["models.deberta"].extend(
        [
            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaForMaskedLM",
            "TFDebertaForQuestionAnswering",
            "TFDebertaForSequenceClassification",
            "TFDebertaForTokenClassification",
            "TFDebertaModel",
            "TFDebertaPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
3358
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
    _import_structure["models.deberta_v2"].extend(
        [
            "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaV2ForMaskedLM",
            "TFDebertaV2ForQuestionAnswering",
            "TFDebertaV2ForSequenceClassification",
            "TFDebertaV2ForTokenClassification",
            "TFDebertaV2Model",
            "TFDebertaV2PreTrainedModel",
        ]
    )
3369
3370
3371
3372
3373
3374
3375
3376
3377
3378
    _import_structure["models.deit"].extend(
        [
            "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDeiTForImageClassification",
            "TFDeiTForImageClassificationWithTeacher",
            "TFDeiTForMaskedImageModeling",
            "TFDeiTModel",
            "TFDeiTPreTrainedModel",
        ]
    )
3379
3380
3381
3382
3383
3384
3385
3386
3387
3388
3389
3390
3391
3392
3393
3394
3395
3396
3397
3398
3399
3400
3401
3402
3403
3404
    _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",
        ]
    )
3405
3406
3407
3408
3409
3410
3411
3412
3413
    _import_structure["models.efficientformer"].extend(
        [
            "TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEfficientFormerForImageClassification",
            "TFEfficientFormerForImageClassificationWithTeacher",
            "TFEfficientFormerModel",
            "TFEfficientFormerPreTrainedModel",
        ]
    )
3414
3415
3416
3417
3418
3419
3420
3421
3422
3423
3424
3425
3426
    _import_structure["models.electra"].extend(
        [
            "TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFElectraForMaskedLM",
            "TFElectraForMultipleChoice",
            "TFElectraForPreTraining",
            "TFElectraForQuestionAnswering",
            "TFElectraForSequenceClassification",
            "TFElectraForTokenClassification",
            "TFElectraModel",
            "TFElectraPreTrainedModel",
        ]
    )
3427
    _import_structure["models.encoder_decoder"].append("TFEncoderDecoderModel")
Matt's avatar
Matt committed
3428
3429
3430
3431
3432
3433
3434
3435
3436
3437
    _import_structure["models.esm"].extend(
        [
            "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFEsmForMaskedLM",
            "TFEsmForSequenceClassification",
            "TFEsmForTokenClassification",
            "TFEsmModel",
            "TFEsmPreTrainedModel",
        ]
    )
3438
3439
3440
3441
3442
3443
3444
3445
    _import_structure["models.flaubert"].extend(
        [
            "TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFlaubertForMultipleChoice",
            "TFFlaubertForQuestionAnsweringSimple",
            "TFFlaubertForSequenceClassification",
            "TFFlaubertForTokenClassification",
            "TFFlaubertModel",
3446
            "TFFlaubertPreTrainedModel",
3447
3448
3449
3450
3451
3452
3453
3454
3455
3456
3457
3458
3459
3460
            "TFFlaubertWithLMHeadModel",
        ]
    )
    _import_structure["models.funnel"].extend(
        [
            "TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFunnelBaseModel",
            "TFFunnelForMaskedLM",
            "TFFunnelForMultipleChoice",
            "TFFunnelForPreTraining",
            "TFFunnelForQuestionAnswering",
            "TFFunnelForSequenceClassification",
            "TFFunnelForTokenClassification",
            "TFFunnelModel",
3461
            "TFFunnelPreTrainedModel",
3462
3463
3464
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
        ]
    )
    _import_structure["models.gpt2"].extend(
        [
            "TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGPT2DoubleHeadsModel",
            "TFGPT2ForSequenceClassification",
            "TFGPT2LMHeadModel",
            "TFGPT2MainLayer",
            "TFGPT2Model",
            "TFGPT2PreTrainedModel",
        ]
    )
3475
3476
3477
3478
3479
3480
3481
3482
3483
    _import_structure["models.gptj"].extend(
        [
            "TFGPTJForCausalLM",
            "TFGPTJForQuestionAnswering",
            "TFGPTJForSequenceClassification",
            "TFGPTJModel",
            "TFGPTJPreTrainedModel",
        ]
    )
3484
3485
3486
3487
3488
3489
3490
3491
3492
    _import_structure["models.groupvit"].extend(
        [
            "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGroupViTModel",
            "TFGroupViTPreTrainedModel",
            "TFGroupViTTextModel",
            "TFGroupViTVisionModel",
        ]
    )
Will Rice's avatar
Will Rice committed
3493
3494
3495
3496
3497
3498
3499
3500
    _import_structure["models.hubert"].extend(
        [
            "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFHubertForCTC",
            "TFHubertModel",
            "TFHubertPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
3501
3502
3503
3504
    _import_structure["models.layoutlm"].extend(
        [
            "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMForMaskedLM",
3505
            "TFLayoutLMForQuestionAnswering",
3506
            "TFLayoutLMForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
3507
            "TFLayoutLMForTokenClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
3508
            "TFLayoutLMMainLayer",
Sylvain Gugger's avatar
Sylvain Gugger committed
3509
3510
3511
3512
            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
    _import_structure["models.layoutlmv3"].extend(
        [
            "TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMv3ForQuestionAnswering",
            "TFLayoutLMv3ForSequenceClassification",
            "TFLayoutLMv3ForTokenClassification",
            "TFLayoutLMv3Model",
            "TFLayoutLMv3PreTrainedModel",
        ]
    )
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
    _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",
3533
            "TFLongformerPreTrainedModel",
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
            "TFLongformerSelfAttention",
        ]
    )
    _import_structure["models.lxmert"].extend(
        [
            "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLxmertForPreTraining",
            "TFLxmertMainLayer",
            "TFLxmertModel",
            "TFLxmertPreTrainedModel",
            "TFLxmertVisualFeatureEncoder",
        ]
    )
3547
3548
3549
3550
    _import_structure["models.marian"].extend(["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"])
    _import_structure["models.mbart"].extend(
        ["TFMBartForConditionalGeneration", "TFMBartModel", "TFMBartPreTrainedModel"]
    )
3551
3552
3553
3554
3555
3556
3557
3558
3559
3560
3561
3562
3563
3564
3565
    _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
3566
3567
3568
3569
3570
    _import_structure["models.mobilevit"].extend(
        [
            "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileViTForImageClassification",
            "TFMobileViTForSemanticSegmentation",
3571
3572
            "TFMobileViTModel",
            "TFMobileViTPreTrainedModel",
Sayak Paul's avatar
Sayak Paul committed
3573
3574
        ]
    )
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
    _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
3600
3601
3602
3603
3604
3605
3606
    _import_structure["models.opt"].extend(
        [
            "TFOPTForCausalLM",
            "TFOPTModel",
            "TFOPTPreTrainedModel",
        ]
    )
3607
3608
3609
    _import_structure["models.pegasus"].extend(
        ["TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel"]
    )
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
3610
3611
3612
    _import_structure["models.rag"].extend(
        [
            "TFRagModel",
3613
            "TFRagPreTrainedModel",
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
3614
3615
3616
3617
            "TFRagSequenceForGeneration",
            "TFRagTokenForGeneration",
        ]
    )
3618
3619
3620
3621
3622
3623
3624
3625
    _import_structure["models.regnet"].extend(
        [
            "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRegNetForImageClassification",
            "TFRegNetModel",
            "TFRegNetPreTrainedModel",
        ]
    )
3626
3627
3628
3629
3630
3631
3632
3633
3634
3635
3636
3637
3638
3639
    _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
3640
3641
3642
3643
3644
3645
3646
3647
    _import_structure["models.resnet"].extend(
        [
            "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFResNetForImageClassification",
            "TFResNetModel",
            "TFResNetPreTrainedModel",
        ]
    )
3648
3649
3650
    _import_structure["models.roberta"].extend(
        [
            "TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
3651
            "TFRobertaForCausalLM",
3652
3653
3654
3655
3656
3657
3658
3659
3660
3661
            "TFRobertaForMaskedLM",
            "TFRobertaForMultipleChoice",
            "TFRobertaForQuestionAnswering",
            "TFRobertaForSequenceClassification",
            "TFRobertaForTokenClassification",
            "TFRobertaMainLayer",
            "TFRobertaModel",
            "TFRobertaPreTrainedModel",
        ]
    )
3662
3663
3664
3665
3666
3667
3668
3669
3670
3671
3672
3673
3674
3675
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRobertaPreLayerNormForCausalLM",
            "TFRobertaPreLayerNormForMaskedLM",
            "TFRobertaPreLayerNormForMultipleChoice",
            "TFRobertaPreLayerNormForQuestionAnswering",
            "TFRobertaPreLayerNormForSequenceClassification",
            "TFRobertaPreLayerNormForTokenClassification",
            "TFRobertaPreLayerNormMainLayer",
            "TFRobertaPreLayerNormModel",
            "TFRobertaPreLayerNormPreTrainedModel",
        ]
    )
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
    _import_structure["models.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
3690
3691
3692
3693
3694
3695
3696
    _import_structure["models.sam"].extend(
        [
            "TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSamModel",
            "TFSamPreTrainedModel",
        ]
    )
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
    _import_structure["models.segformer"].extend(
        [
            "TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSegformerDecodeHead",
            "TFSegformerForImageClassification",
            "TFSegformerForSemanticSegmentation",
            "TFSegformerModel",
            "TFSegformerPreTrainedModel",
        ]
    )
Joao Gante's avatar
Joao Gante committed
3707
3708
3709
3710
3711
3712
3713
3714
    _import_structure["models.speech_to_text"].extend(
        [
            "TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSpeech2TextForConditionalGeneration",
            "TFSpeech2TextModel",
            "TFSpeech2TextPreTrainedModel",
        ]
    )
3715
3716
3717
3718
3719
3720
3721
3722
3723
    _import_structure["models.swin"].extend(
        [
            "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSwinForImageClassification",
            "TFSwinForMaskedImageModeling",
            "TFSwinModel",
            "TFSwinPreTrainedModel",
        ]
    )
3724
3725
3726
3727
3728
3729
3730
3731
    _import_structure["models.t5"].extend(
        [
            "TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFT5EncoderModel",
            "TFT5ForConditionalGeneration",
            "TFT5Model",
            "TFT5PreTrainedModel",
        ]
3732
    )
Kamal Raj's avatar
Kamal Raj committed
3733
3734
3735
3736
3737
3738
3739
3740
3741
3742
    _import_structure["models.tapas"].extend(
        [
            "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFTapasForMaskedLM",
            "TFTapasForQuestionAnswering",
            "TFTapasForSequenceClassification",
            "TFTapasModel",
            "TFTapasPreTrainedModel",
        ]
    )
3743
3744
3745
3746
3747
3748
3749
3750
3751
3752
3753
    _import_structure["models.transfo_xl"].extend(
        [
            "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAdaptiveEmbedding",
            "TFTransfoXLForSequenceClassification",
            "TFTransfoXLLMHeadModel",
            "TFTransfoXLMainLayer",
            "TFTransfoXLModel",
            "TFTransfoXLPreTrainedModel",
        ]
    )
3754
    _import_structure["models.vision_encoder_decoder"].extend(["TFVisionEncoderDecoderModel"])
Matt's avatar
Matt committed
3755
    _import_structure["models.vision_text_dual_encoder"].extend(["TFVisionTextDualEncoderModel"])
Yih-Dar's avatar
Yih-Dar committed
3756
3757
3758
3759
3760
3761
3762
    _import_structure["models.vit"].extend(
        [
            "TFViTForImageClassification",
            "TFViTModel",
            "TFViTPreTrainedModel",
        ]
    )
Sayak Paul's avatar
Sayak Paul committed
3763
3764
3765
3766
3767
3768
3769
    _import_structure["models.vit_mae"].extend(
        [
            "TFViTMAEForPreTraining",
            "TFViTMAEModel",
            "TFViTMAEPreTrainedModel",
        ]
    )
Will Rice's avatar
Will Rice committed
3770
3771
3772
3773
    _import_structure["models.wav2vec2"].extend(
        [
            "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWav2Vec2ForCTC",
3774
            "TFWav2Vec2ForSequenceClassification",
Will Rice's avatar
Will Rice committed
3775
3776
3777
3778
            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
amyeroberts's avatar
amyeroberts committed
3779
3780
3781
3782
3783
3784
3785
3786
    _import_structure["models.whisper"].extend(
        [
            "TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWhisperForConditionalGeneration",
            "TFWhisperModel",
            "TFWhisperPreTrainedModel",
        ]
    )
3787
3788
3789
3790
3791
3792
3793
3794
    _import_structure["models.xglm"].extend(
        [
            "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXGLMForCausalLM",
            "TFXGLMModel",
            "TFXGLMPreTrainedModel",
        ]
    )
3795
3796
3797
3798
3799
3800
3801
3802
3803
3804
3805
3806
3807
3808
3809
3810
    _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",
3811
            "TFXLMRobertaForCausalLM",
3812
3813
3814
3815
3816
3817
            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
3818
            "TFXLMRobertaPreTrainedModel",
3819
3820
3821
3822
3823
3824
3825
3826
3827
3828
3829
3830
3831
3832
3833
3834
        ]
    )
    _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"]
3835
    _import_structure["tf_utils"] = []
3836
    _import_structure["trainer_tf"] = ["TFTrainer"]
thomwolf's avatar
thomwolf committed
3837

3838

Susnato Dhar's avatar
Susnato Dhar committed
3839
3840
3841
3842
3843
3844
3845
3846
3847
3848
3849
3850
3851
3852
3853
3854
3855
3856
3857
3858
3859
3860
3861
try:
    if not (
        is_librosa_available()
        and is_essentia_available()
        and is_scipy_available()
        and is_torch_available()
        and is_pretty_midi_available()
    ):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objects

    _import_structure["utils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objects"] = [
        name
        for name in dir(dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objects)
        if not name.startswith("_")
    ]
else:
    _import_structure["models.pop2piano"].append("Pop2PianoFeatureExtractor")
    _import_structure["models.pop2piano"].append("Pop2PianoTokenizer")
    _import_structure["models.pop2piano"].append("Pop2PianoProcessor")


3862
# FLAX-backed objects
3863
3864
3865
3866
3867
3868
3869
3870
3871
3872
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:
3873
3874
3875
3876
    _import_structure["generation"].extend(
        [
            "FlaxForcedBOSTokenLogitsProcessor",
            "FlaxForcedEOSTokenLogitsProcessor",
3877
            "FlaxForceTokensLogitsProcessor",
3878
            "FlaxGenerationMixin",
3879
3880
3881
3882
3883
            "FlaxLogitsProcessor",
            "FlaxLogitsProcessorList",
            "FlaxLogitsWarper",
            "FlaxMinLengthLogitsProcessor",
            "FlaxTemperatureLogitsWarper",
3884
3885
            "FlaxSuppressTokensAtBeginLogitsProcessor",
            "FlaxSuppressTokensLogitsProcessor",
3886
3887
            "FlaxTopKLogitsWarper",
            "FlaxTopPLogitsWarper",
3888
            "FlaxWhisperTimeStampLogitsProcessor",
3889
3890
        ]
    )
3891
    _import_structure["generation_flax_utils"] = []
3892
    _import_structure["modeling_flax_outputs"] = []
3893
    _import_structure["modeling_flax_utils"] = ["FlaxPreTrainedModel"]
Kamal Raj's avatar
Kamal Raj committed
3894
3895
3896
3897
3898
3899
3900
3901
3902
3903
3904
3905
    _import_structure["models.albert"].extend(
        [
            "FlaxAlbertForMaskedLM",
            "FlaxAlbertForMultipleChoice",
            "FlaxAlbertForPreTraining",
            "FlaxAlbertForQuestionAnswering",
            "FlaxAlbertForSequenceClassification",
            "FlaxAlbertForTokenClassification",
            "FlaxAlbertModel",
            "FlaxAlbertPreTrainedModel",
        ]
    )
3906
3907
    _import_structure["models.auto"].extend(
        [
3908
            "FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
Suraj Patil's avatar
Suraj Patil committed
3909
            "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING",
3910
            "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
3911
3912
3913
3914
3915
            "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",
3916
            "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
3917
            "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
3918
            "FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
3919
            "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
3920
            "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING",
3921
3922
            "FLAX_MODEL_MAPPING",
            "FlaxAutoModel",
Suraj Patil's avatar
Suraj Patil committed
3923
            "FlaxAutoModelForCausalLM",
3924
            "FlaxAutoModelForImageClassification",
3925
3926
3927
3928
3929
            "FlaxAutoModelForMaskedLM",
            "FlaxAutoModelForMultipleChoice",
            "FlaxAutoModelForNextSentencePrediction",
            "FlaxAutoModelForPreTraining",
            "FlaxAutoModelForQuestionAnswering",
3930
            "FlaxAutoModelForSeq2SeqLM",
3931
            "FlaxAutoModelForSequenceClassification",
3932
            "FlaxAutoModelForSpeechSeq2Seq",
3933
            "FlaxAutoModelForTokenClassification",
3934
            "FlaxAutoModelForVision2Seq",
3935
3936
        ]
    )
3937
3938

    # Flax models structure
Suraj Patil's avatar
Suraj Patil committed
3939

Daniel Stancl's avatar
Daniel Stancl committed
3940
3941
    _import_structure["models.bart"].extend(
        [
3942
3943
            "FlaxBartDecoderPreTrainedModel",
            "FlaxBartForCausalLM",
Daniel Stancl's avatar
Daniel Stancl committed
3944
3945
3946
3947
            "FlaxBartForConditionalGeneration",
            "FlaxBartForQuestionAnswering",
            "FlaxBartForSequenceClassification",
            "FlaxBartModel",
3948
            "FlaxBartPreTrainedModel",
Daniel Stancl's avatar
Daniel Stancl committed
3949
3950
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
3951
3952
3953
3954
3955
3956
3957
3958
    _import_structure["models.beit"].extend(
        [
            "FlaxBeitForImageClassification",
            "FlaxBeitForMaskedImageModeling",
            "FlaxBeitModel",
            "FlaxBeitPreTrainedModel",
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
3959

3960
3961
    _import_structure["models.bert"].extend(
        [
3962
            "FlaxBertForCausalLM",
3963
3964
3965
3966
3967
3968
3969
3970
3971
3972
3973
            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
3974
3975
    _import_structure["models.big_bird"].extend(
        [
3976
            "FlaxBigBirdForCausalLM",
Vasudev Gupta's avatar
Vasudev Gupta committed
3977
3978
3979
3980
3981
3982
3983
3984
3985
3986
            "FlaxBigBirdForMaskedLM",
            "FlaxBigBirdForMultipleChoice",
            "FlaxBigBirdForPreTraining",
            "FlaxBigBirdForQuestionAnswering",
            "FlaxBigBirdForSequenceClassification",
            "FlaxBigBirdForTokenClassification",
            "FlaxBigBirdModel",
            "FlaxBigBirdPreTrainedModel",
        ]
    )
3987
3988
3989
    _import_structure["models.blenderbot"].extend(
        ["FlaxBlenderbotForConditionalGeneration", "FlaxBlenderbotModel", "FlaxBlenderbotPreTrainedModel"]
    )
3990
3991
3992
3993
3994
3995
3996
    _import_structure["models.blenderbot_small"].extend(
        [
            "FlaxBlenderbotSmallForConditionalGeneration",
            "FlaxBlenderbotSmallModel",
            "FlaxBlenderbotSmallPreTrainedModel",
        ]
    )
Sanchit Gandhi's avatar
Sanchit Gandhi committed
3997
3998
3999
4000
4001
4002
4003
    _import_structure["models.bloom"].extend(
        [
            "FlaxBloomForCausalLM",
            "FlaxBloomModel",
            "FlaxBloomPreTrainedModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
4004
4005
4006
4007
4008
    _import_structure["models.clip"].extend(
        [
            "FlaxCLIPModel",
            "FlaxCLIPPreTrainedModel",
            "FlaxCLIPTextModel",
4009
            "FlaxCLIPTextPreTrainedModel",
4010
            "FlaxCLIPTextModelWithProjection",
Suraj Patil's avatar
Suraj Patil committed
4011
            "FlaxCLIPVisionModel",
4012
            "FlaxCLIPVisionPreTrainedModel",
Suraj Patil's avatar
Suraj Patil committed
4013
4014
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
4015
4016
4017
4018
4019
4020
4021
4022
4023
4024
4025
    _import_structure["models.distilbert"].extend(
        [
            "FlaxDistilBertForMaskedLM",
            "FlaxDistilBertForMultipleChoice",
            "FlaxDistilBertForQuestionAnswering",
            "FlaxDistilBertForSequenceClassification",
            "FlaxDistilBertForTokenClassification",
            "FlaxDistilBertModel",
            "FlaxDistilBertPreTrainedModel",
        ]
    )
4026
4027
    _import_structure["models.electra"].extend(
        [
4028
            "FlaxElectraForCausalLM",
4029
4030
4031
4032
4033
4034
4035
4036
4037
4038
            "FlaxElectraForMaskedLM",
            "FlaxElectraForMultipleChoice",
            "FlaxElectraForPreTraining",
            "FlaxElectraForQuestionAnswering",
            "FlaxElectraForSequenceClassification",
            "FlaxElectraForTokenClassification",
            "FlaxElectraModel",
            "FlaxElectraPreTrainedModel",
        ]
    )
4039
    _import_structure["models.encoder_decoder"].append("FlaxEncoderDecoderModel")
4040
    _import_structure["models.gpt2"].extend(["FlaxGPT2LMHeadModel", "FlaxGPT2Model", "FlaxGPT2PreTrainedModel"])
Suraj Patil's avatar
Suraj Patil committed
4041
4042
4043
    _import_structure["models.gpt_neo"].extend(
        ["FlaxGPTNeoForCausalLM", "FlaxGPTNeoModel", "FlaxGPTNeoPreTrainedModel"]
    )
Suraj Patil's avatar
Suraj Patil committed
4044
    _import_structure["models.gptj"].extend(["FlaxGPTJForCausalLM", "FlaxGPTJModel", "FlaxGPTJPreTrainedModel"])
Daniel Stancl's avatar
Daniel Stancl committed
4045
4046
4047
    _import_structure["models.longt5"].extend(
        ["FlaxLongT5ForConditionalGeneration", "FlaxLongT5Model", "FlaxLongT5PreTrainedModel"]
    )
4048
4049
4050
4051
4052
4053
4054
    _import_structure["models.marian"].extend(
        [
            "FlaxMarianModel",
            "FlaxMarianMTModel",
            "FlaxMarianPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
4055
4056
4057
4058
4059
4060
4061
4062
4063
    _import_structure["models.mbart"].extend(
        [
            "FlaxMBartForConditionalGeneration",
            "FlaxMBartForQuestionAnswering",
            "FlaxMBartForSequenceClassification",
            "FlaxMBartModel",
            "FlaxMBartPreTrainedModel",
        ]
    )
Crystina's avatar
Crystina committed
4064
    _import_structure["models.mt5"].extend(["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
Arthur's avatar
Arthur committed
4065
4066
4067
4068
4069
4070
4071
    _import_structure["models.opt"].extend(
        [
            "FlaxOPTForCausalLM",
            "FlaxOPTModel",
            "FlaxOPTPreTrainedModel",
        ]
    )
4072
4073
4074
4075
4076
4077
4078
    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
Shubhamai's avatar
Shubhamai committed
4079
4080
4081
    _import_structure["models.regnet"].extend(
        ["FlaxRegNetForImageClassification", "FlaxRegNetModel", "FlaxRegNetPreTrainedModel"]
    )
Shubhamai's avatar
Shubhamai committed
4082
4083
4084
    _import_structure["models.resnet"].extend(
        ["FlaxResNetForImageClassification", "FlaxResNetModel", "FlaxResNetPreTrainedModel"]
    )
4085
4086
    _import_structure["models.roberta"].extend(
        [
4087
            "FlaxRobertaForCausalLM",
4088
4089
4090
4091
4092
4093
4094
4095
4096
            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
4097
4098
4099
4100
4101
4102
4103
4104
4105
4106
4107
4108
    _import_structure["models.roberta_prelayernorm"].extend(
        [
            "FlaxRobertaPreLayerNormForCausalLM",
            "FlaxRobertaPreLayerNormForMaskedLM",
            "FlaxRobertaPreLayerNormForMultipleChoice",
            "FlaxRobertaPreLayerNormForQuestionAnswering",
            "FlaxRobertaPreLayerNormForSequenceClassification",
            "FlaxRobertaPreLayerNormForTokenClassification",
            "FlaxRobertaPreLayerNormModel",
            "FlaxRobertaPreLayerNormPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
4109
4110
4111
4112
4113
4114
4115
4116
4117
4118
4119
    _import_structure["models.roformer"].extend(
        [
            "FlaxRoFormerForMaskedLM",
            "FlaxRoFormerForMultipleChoice",
            "FlaxRoFormerForQuestionAnswering",
            "FlaxRoFormerForSequenceClassification",
            "FlaxRoFormerForTokenClassification",
            "FlaxRoFormerModel",
            "FlaxRoFormerPreTrainedModel",
        ]
    )
4120
    _import_structure["models.speech_encoder_decoder"].append("FlaxSpeechEncoderDecoderModel")
Crystina's avatar
Crystina committed
4121
4122
4123
    _import_structure["models.t5"].extend(
        ["FlaxT5EncoderModel", "FlaxT5ForConditionalGeneration", "FlaxT5Model", "FlaxT5PreTrainedModel"]
    )
4124
    _import_structure["models.vision_encoder_decoder"].append("FlaxVisionEncoderDecoderModel")
Suraj Patil's avatar
Suraj Patil committed
4125
    _import_structure["models.vision_text_dual_encoder"].extend(["FlaxVisionTextDualEncoderModel"])
4126
    _import_structure["models.vit"].extend(["FlaxViTForImageClassification", "FlaxViTModel", "FlaxViTPreTrainedModel"])
4127
4128
4129
    _import_structure["models.wav2vec2"].extend(
        ["FlaxWav2Vec2ForCTC", "FlaxWav2Vec2ForPreTraining", "FlaxWav2Vec2Model", "FlaxWav2Vec2PreTrainedModel"]
    )
4130
4131
4132
4133
4134
    _import_structure["models.whisper"].extend(
        [
            "FlaxWhisperForConditionalGeneration",
            "FlaxWhisperModel",
            "FlaxWhisperPreTrainedModel",
4135
            "FlaxWhisperForAudioClassification",
4136
4137
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
4138
4139
4140
4141
4142
4143
4144
    _import_structure["models.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
4145
4146
    _import_structure["models.xlm_roberta"].extend(
        [
4147
            "FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
4148
4149
4150
4151
4152
4153
            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
4154
4155
            "FlaxXLMRobertaForCausalLM",
            "FlaxXLMRobertaPreTrainedModel",
4156
4157
        ]
    )
4158

4159

4160
4161
4162
4163
4164
4165
4166
4167
4168
4169
4170
4171
4172
4173
4174
4175
4176
4177
4178
4179
4180
4181
4182
4183
4184
4185
# 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,
    )
4186
4187
4188
4189
4190
4191
4192
4193
4194
    from .data.data_collator import (
        DataCollator,
        DataCollatorForLanguageModeling,
        DataCollatorForPermutationLanguageModeling,
        DataCollatorForSeq2Seq,
        DataCollatorForSOP,
        DataCollatorForTokenClassification,
        DataCollatorForWholeWordMask,
        DataCollatorWithPadding,
4195
        DefaultDataCollator,
4196
4197
        default_data_collator,
    )
4198
    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
4199

4200
    # Feature Extractor
4201
    from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
4202
4203

    # Generation
4204
    from .generation import GenerationConfig, TextIteratorStreamer, TextStreamer
4205
    from .hf_argparser import HfArgumentParser
Patrick von Platen's avatar
Patrick von Platen committed
4206

4207
4208
    # Integrations
    from .integrations import (
4209
        is_clearml_available,
4210
        is_comet_available,
4211
        is_neptune_available,
4212
4213
4214
        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
4215
        is_sigopt_available,
4216
4217
        is_tensorboard_available,
        is_wandb_available,
4218
    )
4219
4220
4221
4222
4223
4224
4225
4226
4227
4228
4229
4230
4231
4232
4233

    # 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
4234
4235
4236
4237
4238
4239
4240
    from .models.align import (
        ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AlignConfig,
        AlignProcessor,
        AlignTextConfig,
        AlignVisionConfig,
    )
Jongjyh's avatar
Jongjyh committed
4241
4242
4243
4244
4245
4246
4247
    from .models.altclip import (
        ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AltCLIPConfig,
        AltCLIPProcessor,
        AltCLIPTextConfig,
        AltCLIPVisionConfig,
    )
4248
4249
4250
4251
    from .models.audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ASTConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
4252
    from .models.auto import (
4253
4254
        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
4255
        FEATURE_EXTRACTOR_MAPPING,
amyeroberts's avatar
amyeroberts committed
4256
        IMAGE_PROCESSOR_MAPPING,
4257
        MODEL_NAMES_MAPPING,
Sylvain Gugger's avatar
Sylvain Gugger committed
4258
        PROCESSOR_MAPPING,
4259
4260
        TOKENIZER_MAPPING,
        AutoConfig,
4261
        AutoFeatureExtractor,
amyeroberts's avatar
amyeroberts committed
4262
        AutoImageProcessor,
Sylvain Gugger's avatar
Sylvain Gugger committed
4263
        AutoProcessor,
4264
4265
        AutoTokenizer,
    )
4266
4267
4268
4269
    from .models.autoformer import (
        AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        AutoformerConfig,
    )
Yoach Lacombe's avatar
Yoach Lacombe committed
4270
4271
4272
4273
4274
4275
4276
    from .models.bark import (
        BarkCoarseConfig,
        BarkConfig,
        BarkFineConfig,
        BarkProcessor,
        BarkSemanticConfig,
    )
4277
    from .models.bart import BartConfig, BartTokenizer
NielsRogge's avatar
NielsRogge committed
4278
    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
4279
    from .models.bert import (
4280
4281
4282
4283
4284
        BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BasicTokenizer,
        BertConfig,
        BertTokenizer,
        WordpieceTokenizer,
4285
    )
4286
4287
4288
    from .models.bert_generation import BertGenerationConfig
    from .models.bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
    from .models.bertweet import BertweetTokenizer
4289
    from .models.big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig
Vasudev Gupta's avatar
Vasudev Gupta committed
4290
    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
4291
    from .models.biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig, BioGptTokenizer
NielsRogge's avatar
NielsRogge committed
4292
    from .models.bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig
4293
4294
4295
4296
4297
4298
    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
4299
4300
4301
4302
4303
4304
4305
    from .models.blip import (
        BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlipConfig,
        BlipProcessor,
        BlipTextConfig,
        BlipVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
4306
4307
4308
4309
4310
4311
4312
    from .models.blip_2 import (
        BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Blip2Config,
        Blip2Processor,
        Blip2QFormerConfig,
        Blip2VisionConfig,
    )
Younes Belkada's avatar
Younes Belkada committed
4313
    from .models.bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig
4314
4315
4316
4317
4318
4319
4320
    from .models.bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerProcessor,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
Patrick von Platen's avatar
Patrick von Platen committed
4321
    from .models.byt5 import ByT5Tokenizer
4322
    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
NielsRogge's avatar
NielsRogge committed
4323
    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
4324
4325
4326
4327
4328
4329
4330
    from .models.chinese_clip import (
        CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ChineseCLIPConfig,
        ChineseCLIPProcessor,
        ChineseCLIPTextConfig,
        ChineseCLIPVisionConfig,
    )
4331
4332
4333
4334
4335
4336
4337
    from .models.clap import (
        CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
        ClapAudioConfig,
        ClapConfig,
        ClapProcessor,
        ClapTextConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
4338
4339
4340
    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
NielsRogge's avatar
NielsRogge committed
4341
        CLIPProcessor,
Suraj Patil's avatar
Suraj Patil committed
4342
4343
4344
4345
        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
4346
4347
4348
4349
4350
4351
4352
    from .models.clipseg import (
        CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPSegConfig,
        CLIPSegProcessor,
        CLIPSegTextConfig,
        CLIPSegVisionConfig,
    )
rooa's avatar
rooa committed
4353
    from .models.codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenTokenizer
4354
    from .models.conditional_detr import CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, ConditionalDetrConfig
abhishek thakur's avatar
abhishek thakur committed
4355
    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
NielsRogge's avatar
NielsRogge committed
4356
    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
Alara Dirik's avatar
Alara Dirik committed
4357
    from .models.convnextv2 import CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextV2Config
4358
    from .models.cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig, CpmAntTokenizer
4359
    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
NielsRogge's avatar
NielsRogge committed
4360
    from .models.cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig
4361
4362
4363
4364
4365
4366
4367
    from .models.data2vec import (
        DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Data2VecAudioConfig,
        Data2VecTextConfig,
        Data2VecVisionConfig,
    )
4368
    from .models.deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaTokenizer
4369
    from .models.deberta_v2 import DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaV2Config
4370
4371
4372
4373
    from .models.decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
NielsRogge's avatar
NielsRogge committed
4374
    from .models.deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
NielsRogge's avatar
NielsRogge committed
4375
    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
4376
4377
4378
4379
4380
4381
4382
    from .models.deprecated.mctct import (
        MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MCTCTConfig,
        MCTCTFeatureExtractor,
        MCTCTProcessor,
    )
    from .models.deprecated.mmbt import MMBTConfig
4383
    from .models.deprecated.open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
4384
4385
4386
4387
4388
4389
4390
4391
4392
4393
4394
    from .models.deprecated.retribert import (
        RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        RetriBertConfig,
        RetriBertTokenizer,
    )
    from .models.deprecated.tapex import TapexTokenizer
    from .models.deprecated.trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TrajectoryTransformerConfig,
    )
    from .models.deprecated.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
NielsRogge's avatar
NielsRogge committed
4395
    from .models.deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
NielsRogge's avatar
NielsRogge committed
4396
    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
4397
    from .models.dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
NielsRogge's avatar
NielsRogge committed
4398
    from .models.dinov2 import DINOV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Dinov2Config
4399
    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
NielsRogge's avatar
NielsRogge committed
4400
    from .models.donut import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutProcessor, DonutSwinConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
4401
    from .models.dpr import (
4402
4403
4404
4405
4406
4407
        DPR_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DPRConfig,
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
4408
    )
NielsRogge's avatar
NielsRogge committed
4409
    from .models.dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
4410
    from .models.efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig
Alara Dirik's avatar
Alara Dirik committed
4411
    from .models.efficientnet import EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientNetConfig
4412
    from .models.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
4413
4414
4415
    from .models.encodec import (
        ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
        EncodecConfig,
4416
        EncodecFeatureExtractor,
4417
    )
4418
    from .models.encoder_decoder import EncoderDecoderConfig
4419
    from .models.ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig
4420
    from .models.ernie_m import ERNIE_M_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieMConfig
4421
    from .models.esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig, EsmTokenizer
Matt's avatar
Matt committed
4422
    from .models.falcon import FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP, FalconConfig
4423
    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
4424
4425
4426
4427
4428
4429
4430
4431
    from .models.flava import (
        FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
        FlavaConfig,
        FlavaImageCodebookConfig,
        FlavaImageConfig,
        FlavaMultimodalConfig,
        FlavaTextConfig,
    )
4432
    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig
NielsRogge's avatar
NielsRogge committed
4433
    from .models.focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig
4434
4435
    from .models.fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig, FSMTTokenizer
    from .models.funnel import FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP, FunnelConfig, FunnelTokenizer
4436
    from .models.git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitProcessor, GitVisionConfig
NielsRogge's avatar
NielsRogge committed
4437
    from .models.glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig
4438
    from .models.gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2Tokenizer
4439
    from .models.gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig
Suraj Patil's avatar
Suraj Patil committed
4440
    from .models.gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
4441
    from .models.gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig
4442
    from .models.gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
Stella Biderman's avatar
Stella Biderman committed
4443
    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
4444
4445
4446
4447
4448
    from .models.gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GPTSanJapaneseConfig,
        GPTSanJapaneseTokenizer,
    )
4449
    from .models.graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig
4450
4451
4452
4453
4454
4455
    from .models.groupvit import (
        GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GroupViTConfig,
        GroupViTTextConfig,
        GroupViTVisionConfig,
    )
4456
    from .models.herbert import HerbertTokenizer
Patrick von Platen's avatar
Patrick von Platen committed
4457
    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
Sehoon Kim's avatar
Sehoon Kim committed
4458
    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
4459
4460
4461
4462
    from .models.idefics import (
        IDEFICS_PRETRAINED_CONFIG_ARCHIVE_MAP,
        IdeficsConfig,
    )
NielsRogge's avatar
NielsRogge committed
4463
    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
4464
    from .models.informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig
NielsRogge's avatar
NielsRogge committed
4465
4466
4467
4468
4469
4470
4471
    from .models.instructblip import (
        INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        InstructBlipConfig,
        InstructBlipProcessor,
        InstructBlipQFormerConfig,
        InstructBlipVisionConfig,
    )
4472
4473
4474
4475
4476
4477
4478
    from .models.jukebox import (
        JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
        JukeboxConfig,
        JukeboxPriorConfig,
        JukeboxTokenizer,
        JukeboxVQVAEConfig,
    )
4479
    from .models.layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMTokenizer
4480
4481
4482
4483
    from .models.layoutlmv2 import (
        LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv2Config,
        LayoutLMv2FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
4484
        LayoutLMv2ImageProcessor,
4485
4486
4487
        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
NielsRogge's avatar
NielsRogge committed
4488
4489
4490
4491
    from .models.layoutlmv3 import (
        LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv3Config,
        LayoutLMv3FeatureExtractor,
amyeroberts's avatar
amyeroberts committed
4492
        LayoutLMv3ImageProcessor,
NielsRogge's avatar
NielsRogge committed
4493
4494
4495
        LayoutLMv3Processor,
        LayoutLMv3Tokenizer,
    )
4496
    from .models.layoutxlm import LayoutXLMProcessor
4497
    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
4498
    from .models.levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig
NielsRogge's avatar
NielsRogge committed
4499
    from .models.lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig
Jason Phang's avatar
Jason Phang committed
4500
    from .models.llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig
4501
    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
Daniel Stancl's avatar
Daniel Stancl committed
4502
    from .models.longt5 import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongT5Config
NielsRogge's avatar
NielsRogge committed
4503
    from .models.luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig, LukeTokenizer
4504
    from .models.lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig, LxmertTokenizer
4505
    from .models.m2m_100 import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, M2M100Config
4506
    from .models.marian import MarianConfig
NielsRogge's avatar
NielsRogge committed
4507
4508
4509
4510
4511
4512
4513
    from .models.markuplm import (
        MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MarkupLMConfig,
        MarkupLMFeatureExtractor,
        MarkupLMProcessor,
        MarkupLMTokenizer,
    )
Alara Dirik's avatar
Alara Dirik committed
4514
    from .models.mask2former import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Mask2FormerConfig
4515
    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig, MaskFormerSwinConfig
4516
    from .models.mbart import MBartConfig
4517
    from .models.mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig
4518
    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
wangpeng's avatar
wangpeng committed
4519
    from .models.mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig, MgpstrProcessor, MgpstrTokenizer
4520
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
4521
    from .models.mobilenet_v1 import MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV1Config
4522
    from .models.mobilenet_v2 import MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileNetV2Config
4523
    from .models.mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig
Shehan Munasinghe's avatar
Shehan Munasinghe committed
4524
    from .models.mobilevitv2 import MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTV2Config
4525
    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
4526
    from .models.mpt import MPT_PRETRAINED_CONFIG_ARCHIVE_MAP, MptConfig
4527
    from .models.mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig
4528
    from .models.mt5 import MT5Config
Sanchit Gandhi's avatar
Sanchit Gandhi committed
4529
4530
4531
4532
4533
    from .models.musicgen import (
        MUSICGEN_PRETRAINED_CONFIG_ARCHIVE_MAP,
        MusicgenConfig,
        MusicgenDecoderConfig,
    )
StevenTang1998's avatar
StevenTang1998 committed
4534
    from .models.mvp import MvpConfig, MvpTokenizer
4535
    from .models.nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
4536
    from .models.nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig
4537
    from .models.nllb_moe import NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP, NllbMoeConfig
novice's avatar
novice committed
4538
    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
Jitesh Jain's avatar
Jitesh Jain committed
4539
    from .models.oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig, OneFormerProcessor
4540
    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
Younes Belkada's avatar
Younes Belkada committed
4541
    from .models.opt import OPTConfig
4542
4543
4544
4545
4546
4547
4548
    from .models.owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTProcessor,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
4549
    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
Jason Phang's avatar
Jason Phang committed
4550
    from .models.pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig
NielsRogge's avatar
NielsRogge committed
4551
    from .models.perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverTokenizer
4552
    from .models.phobert import PhobertTokenizer
Younes Belkada's avatar
Younes Belkada committed
4553
4554
4555
4556
4557
4558
4559
    from .models.pix2struct import (
        PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Pix2StructConfig,
        Pix2StructProcessor,
        Pix2StructTextConfig,
        Pix2StructVisionConfig,
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4560
    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
Tanay Mehta's avatar
Tanay Mehta committed
4561
    from .models.poolformer import POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, PoolFormerConfig
Susnato Dhar's avatar
Susnato Dhar committed
4562
4563
4564
4565
    from .models.pop2piano import (
        POP2PIANO_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Pop2PianoConfig,
    )
4566
    from .models.prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig, ProphetNetTokenizer
Rinat's avatar
Rinat committed
4567
    from .models.pvt import PVT_PRETRAINED_CONFIG_ARCHIVE_MAP, PvtConfig
4568
    from .models.qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
4569
    from .models.rag import RagConfig, RagRetriever, RagTokenizer
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
4570
    from .models.realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig, RealmTokenizer
4571
    from .models.reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
4572
    from .models.regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig
4573
    from .models.rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig
4574
    from .models.resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig
4575
    from .models.roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaTokenizer
4576
4577
4578
4579
    from .models.roberta_prelayernorm import (
        ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        RobertaPreLayerNormConfig,
    )
Weiwe Shi's avatar
Weiwe Shi committed
4580
    from .models.roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig, RoCBertTokenizer
4581
    from .models.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
4582
    from .models.rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig
4583
4584
4585
4586
4587
4588
4589
4590
    from .models.sam import (
        SAM_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SamConfig,
        SamMaskDecoderConfig,
        SamProcessor,
        SamPromptEncoderConfig,
        SamVisionConfig,
    )
NielsRogge's avatar
NielsRogge committed
4591
    from .models.segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig
4592
4593
    from .models.sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig
    from .models.sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
4594
    from .models.speech_encoder_decoder import SpeechEncoderDecoderConfig
4595
4596
4597
4598
4599
    from .models.speech_to_text import (
        SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2TextConfig,
        Speech2TextProcessor,
    )
4600
4601
4602
4603
4604
4605
    from .models.speech_to_text_2 import (
        SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2Text2Config,
        Speech2Text2Processor,
        Speech2Text2Tokenizer,
    )
4606
4607
4608
4609
    from .models.speecht5 import (
        SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
        SpeechT5Config,
4610
        SpeechT5FeatureExtractor,
4611
        SpeechT5HifiGanConfig,
4612
        SpeechT5Processor,
4613
    )
Ori Ram's avatar
Ori Ram committed
4614
    from .models.splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig, SplinterTokenizer
4615
    from .models.squeezebert import SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, SqueezeBertConfig, SqueezeBertTokenizer
Shehan Munasinghe's avatar
Shehan Munasinghe committed
4616
    from .models.swiftformer import SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SwiftFormerConfig
novice's avatar
novice committed
4617
    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
NielsRogge's avatar
NielsRogge committed
4618
    from .models.swin2sr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, Swin2SRConfig
4619
    from .models.swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config
4620
    from .models.switch_transformers import SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP, SwitchTransformersConfig
4621
    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
4622
    from .models.table_transformer import TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TableTransformerConfig
4623
    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
4624
4625
4626
4627
    from .models.time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TimeSeriesTransformerConfig,
    )
4628
    from .models.timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig
amyeroberts's avatar
amyeroberts committed
4629
    from .models.timm_backbone import TimmBackboneConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
4630
    from .models.transfo_xl import (
4631
4632
4633
4634
4635
        TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TransfoXLConfig,
        TransfoXLCorpus,
        TransfoXLTokenizer,
    )
4636
    from .models.trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig, TrOCRProcessor
4637
    from .models.tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig, TvltFeatureExtractor, TvltProcessor
4638
    from .models.umt5 import UMT5Config
4639
4640
    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
4641
    from .models.upernet import UperNetConfig
NielsRogge's avatar
NielsRogge committed
4642
    from .models.videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig
amyeroberts's avatar
amyeroberts committed
4643
4644
4645
4646
4647
4648
4649
    from .models.vilt import (
        VILT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        ViltConfig,
        ViltFeatureExtractor,
        ViltImageProcessor,
        ViltProcessor,
    )
4650
    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
Suraj Patil's avatar
Suraj Patil committed
4651
    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4652
    from .models.visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig
4653
    from .models.vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig
NielsRogge's avatar
NielsRogge committed
4654
    from .models.vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig
NielsRogge's avatar
NielsRogge committed
4655
    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
4656
    from .models.vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig
NielsRogge's avatar
NielsRogge committed
4657
    from .models.vitdet import VITDET_PRETRAINED_CONFIG_ARCHIVE_MAP, VitDetConfig
Matthijs Hollemans's avatar
Matthijs Hollemans committed
4658
4659
4660
4661
4662
    from .models.vits import (
        VITS_PRETRAINED_CONFIG_ARCHIVE_MAP,
        VitsConfig,
        VitsTokenizer,
    )
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
4663
    from .models.vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig
4664
4665
4666
4667
4668
4669
4670
4671
    from .models.wav2vec2 import (
        WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Wav2Vec2Config,
        Wav2Vec2CTCTokenizer,
        Wav2Vec2FeatureExtractor,
        Wav2Vec2Processor,
        Wav2Vec2Tokenizer,
    )
4672
    from .models.wav2vec2_conformer import WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig
4673
    from .models.wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
4674
    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
Patrick von Platen's avatar
Patrick von Platen committed
4675
    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
4676
4677
4678
4679
4680
4681
4682
    from .models.whisper import (
        WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        WhisperConfig,
        WhisperFeatureExtractor,
        WhisperProcessor,
        WhisperTokenizer,
    )
NielsRogge's avatar
NielsRogge committed
4683
4684
4685
4686
4687
4688
4689
    from .models.x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPProcessor,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
4690
    from .models.xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig
4691
4692
4693
    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
4694
    from .models.xlm_roberta_xl import XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaXLConfig
4695
    from .models.xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig
Jannis Vamvas's avatar
Jannis Vamvas committed
4696
    from .models.xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig
NielsRogge's avatar
NielsRogge committed
4697
    from .models.yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig
novice's avatar
novice committed
4698
    from .models.yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
4699
4700
4701

    # Pipelines
    from .pipelines import (
4702
        AudioClassificationPipeline,
4703
        AutomaticSpeechRecognitionPipeline,
4704
4705
4706
        Conversation,
        ConversationalPipeline,
        CsvPipelineDataFormat,
4707
        DepthEstimationPipeline,
4708
        DocumentQuestionAnsweringPipeline,
4709
4710
        FeatureExtractionPipeline,
        FillMaskPipeline,
4711
        ImageClassificationPipeline,
4712
        ImageSegmentationPipeline,
4713
        ImageToTextPipeline,
4714
4715
        JsonPipelineDataFormat,
        NerPipeline,
4716
        ObjectDetectionPipeline,
4717
4718
4719
4720
4721
4722
4723
4724
4725
        PipedPipelineDataFormat,
        Pipeline,
        PipelineDataFormat,
        QuestionAnsweringPipeline,
        SummarizationPipeline,
        TableQuestionAnsweringPipeline,
        Text2TextGenerationPipeline,
        TextClassificationPipeline,
        TextGenerationPipeline,
4726
        TextToAudioPipeline,
4727
4728
        TokenClassificationPipeline,
        TranslationPipeline,
4729
        VideoClassificationPipeline,
4730
        VisualQuestionAnsweringPipeline,
4731
        ZeroShotAudioClassificationPipeline,
4732
        ZeroShotClassificationPipeline,
4733
        ZeroShotImageClassificationPipeline,
4734
        ZeroShotObjectDetectionPipeline,
4735
4736
        pipeline,
    )
4737
    from .processing_utils import ProcessorMixin
4738
4739
4740
4741
4742
4743
4744
4745
4746
4747
4748

    # Tokenization
    from .tokenization_utils import PreTrainedTokenizer
    from .tokenization_utils_base import (
        AddedToken,
        BatchEncoding,
        CharSpan,
        PreTrainedTokenizerBase,
        SpecialTokensMixin,
        TokenSpan,
    )
Lysandre's avatar
Lysandre committed
4749

Sylvain Gugger's avatar
Sylvain Gugger committed
4750
    # Tools
Sylvain Gugger's avatar
Sylvain Gugger committed
4751
4752
    from .tools import (
        Agent,
Sylvain Gugger's avatar
Sylvain Gugger committed
4753
        AzureOpenAiAgent,
Sylvain Gugger's avatar
Sylvain Gugger committed
4754
4755
4756
4757
4758
4759
4760
4761
4762
        HfAgent,
        LocalAgent,
        OpenAiAgent,
        PipelineTool,
        RemoteTool,
        Tool,
        launch_gradio_demo,
        load_tool,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
4763

Julien Plu's avatar
Julien Plu committed
4764
    # Trainer
4765
4766
4767
4768
4769
4770
4771
4772
4773
    from .trainer_callback import (
        DefaultFlowCallback,
        EarlyStoppingCallback,
        PrinterCallback,
        ProgressCallback,
        TrainerCallback,
        TrainerControl,
        TrainerState,
    )
4774
    from .trainer_utils import EvalPrediction, IntervalStrategy, SchedulerType, enable_full_determinism, set_seed
4775
4776
4777
    from .training_args import TrainingArguments
    from .training_args_seq2seq import Seq2SeqTrainingArguments
    from .training_args_tf import TFTrainingArguments
4778
4779
4780
4781
4782
4783
4784
4785
4786
4787
4788
4789
4790
4791
4792
4793

    # 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,
4794
        is_bitsandbytes_available,
4795
        is_datasets_available,
4796
        is_decord_available,
4797
4798
        is_faiss_available,
        is_flax_available,
Matt's avatar
Matt committed
4799
        is_keras_nlp_available,
4800
4801
4802
4803
        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
4804
        is_safetensors_available,
4805
4806
4807
4808
        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
4809
        is_tensorflow_text_available,
4810
4811
4812
4813
        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
4814
        is_torch_neuroncore_available,
4815
        is_torch_npu_available,
4816
        is_torch_tpu_available,
NielsRogge's avatar
NielsRogge committed
4817
        is_torchvision_available,
4818
4819
4820
        is_vision_available,
        logging,
    )
Julien Plu's avatar
Julien Plu committed
4821

4822
    # bitsandbytes config
Marc Sun's avatar
Marc Sun committed
4823
    from .utils.quantization_config import BitsAndBytesConfig, GPTQConfig
4824

4825
4826
4827
4828
4829
4830
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_sentencepiece_objects import *
    else:
4831
4832
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
4833
        from .models.bartpho import BartphoTokenizer
4834
        from .models.bert_generation import BertGenerationTokenizer
4835
        from .models.big_bird import BigBirdTokenizer
4836
        from .models.camembert import CamembertTokenizer
4837
        from .models.code_llama import CodeLlamaTokenizer
4838
        from .models.cpm import CpmTokenizer
4839
        from .models.deberta_v2 import DebertaV2Tokenizer
4840
        from .models.ernie_m import ErnieMTokenizer
4841
        from .models.fnet import FNetTokenizer
4842
        from .models.gpt_sw3 import GPTSw3Tokenizer
4843
        from .models.layoutxlm import LayoutXLMTokenizer
Jason Phang's avatar
Jason Phang committed
4844
        from .models.llama import LlamaTokenizer
4845
        from .models.m2m_100 import M2M100Tokenizer
4846
        from .models.marian import MarianTokenizer
Suraj Patil's avatar
Suraj Patil committed
4847
        from .models.mbart import MBart50Tokenizer, MBartTokenizer
Ryokan RI's avatar
Ryokan RI committed
4848
        from .models.mluke import MLukeTokenizer
4849
        from .models.mt5 import MT5Tokenizer
Lysandre Debut's avatar
Lysandre Debut committed
4850
        from .models.nllb import NllbTokenizer
4851
        from .models.pegasus import PegasusTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4852
        from .models.plbart import PLBartTokenizer
4853
        from .models.reformer import ReformerTokenizer
4854
        from .models.rembert import RemBertTokenizer
4855
        from .models.speech_to_text import Speech2TextTokenizer
4856
        from .models.speecht5 import SpeechT5Tokenizer
4857
        from .models.t5 import T5Tokenizer
Suraj Patil's avatar
Suraj Patil committed
4858
        from .models.xglm import XGLMTokenizer
4859
4860
4861
        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
4862

4863
4864
4865
4866
4867
4868
4869
    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tokenizers_objects import *
    else:
        # Fast tokenizers imports
4870
4871
4872
4873
        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
4874
        from .models.big_bird import BigBirdTokenizerFast
4875
        from .models.blenderbot import BlenderbotTokenizerFast
4876
        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
Younes Belkada's avatar
Younes Belkada committed
4877
        from .models.bloom import BloomTokenizerFast
4878
        from .models.camembert import CamembertTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4879
        from .models.clip import CLIPTokenizerFast
4880
        from .models.code_llama import CodeLlamaTokenizerFast
rooa's avatar
rooa committed
4881
        from .models.codegen import CodeGenTokenizerFast
abhishek thakur's avatar
abhishek thakur committed
4882
        from .models.convbert import ConvBertTokenizerFast
4883
        from .models.cpm import CpmTokenizerFast
4884
        from .models.deberta import DebertaTokenizerFast
4885
        from .models.deberta_v2 import DebertaV2TokenizerFast
Sylvain Gugger's avatar
Sylvain Gugger committed
4886
        from .models.deprecated.retribert import RetriBertTokenizerFast
4887
4888
4889
        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4890
        from .models.fnet import FNetTokenizerFast
4891
4892
        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
4893
        from .models.gpt_neox import GPTNeoXTokenizerFast
4894
        from .models.gpt_neox_japanese import GPTNeoXJapaneseTokenizer
4895
4896
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
4897
        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
NielsRogge's avatar
NielsRogge committed
4898
        from .models.layoutlmv3 import LayoutLMv3TokenizerFast
4899
        from .models.layoutxlm import LayoutXLMTokenizerFast
4900
        from .models.led import LEDTokenizerFast
4901
        from .models.llama import LlamaTokenizerFast
4902
4903
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
NielsRogge's avatar
NielsRogge committed
4904
        from .models.markuplm import MarkupLMTokenizerFast
4905
4906
        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
4907
4908
4909
        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
StevenTang1998's avatar
StevenTang1998 committed
4910
        from .models.mvp import MvpTokenizerFast
Lysandre Debut's avatar
Lysandre Debut committed
4911
        from .models.nllb import NllbTokenizerFast
4912
4913
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
4914
        from .models.realm import RealmTokenizerFast
4915
        from .models.reformer import ReformerTokenizerFast
4916
        from .models.rembert import RemBertTokenizerFast
4917
        from .models.roberta import RobertaTokenizerFast
4918
        from .models.roformer import RoFormerTokenizerFast
Ori Ram's avatar
Ori Ram committed
4919
        from .models.splinter import SplinterTokenizerFast
4920
4921
        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
4922
        from .models.whisper import WhisperTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
4923
        from .models.xglm import XGLMTokenizerFast
4924
4925
4926
        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
4927

4928
4929
4930
4931
4932
    try:
        if not (is_sentencepiece_available() and is_tokenizers_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *
4933
    else:
4934
4935
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer

4936
4937
4938
4939
    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
4940
        from .utils.dummy_speech_objects import *
4941
    else:
4942
        from .models.audio_spectrogram_transformer import ASTFeatureExtractor
4943
4944
        from .models.speech_to_text import Speech2TextFeatureExtractor

4945
4946
4947
4948
4949
4950
4951
4952
    try:
        if not is_tensorflow_text_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tensorflow_text_objects import *
    else:
        from .models.bert import TFBertTokenizer

4953
4954
4955
4956
4957
4958
4959
4960
    try:
        if not is_keras_nlp_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_keras_nlp_objects import *
    else:
        from .models.gpt2 import TFGPT2Tokenizer

4961
4962
4963
4964
4965
4966
    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_vision_objects import *
    else:
amyeroberts's avatar
amyeroberts committed
4967
        from .image_processing_utils import ImageProcessingMixin
4968
        from .image_utils import ImageFeatureExtractionMixin
amyeroberts's avatar
amyeroberts committed
4969
        from .models.beit import BeitFeatureExtractor, BeitImageProcessor
NielsRogge's avatar
NielsRogge committed
4970
        from .models.bit import BitImageProcessor
Younes Belkada's avatar
Younes Belkada committed
4971
        from .models.blip import BlipImageProcessor
4972
        from .models.bridgetower import BridgeTowerImageProcessor
4973
        from .models.chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor
amyeroberts's avatar
amyeroberts committed
4974
        from .models.clip import CLIPFeatureExtractor, CLIPImageProcessor
4975
        from .models.conditional_detr import ConditionalDetrFeatureExtractor, ConditionalDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4976
        from .models.convnext import ConvNextFeatureExtractor, ConvNextImageProcessor
4977
        from .models.deformable_detr import DeformableDetrFeatureExtractor, DeformableDetrImageProcessor
amyeroberts's avatar
amyeroberts committed
4978
        from .models.deit import DeiTFeatureExtractor, DeiTImageProcessor
NielsRogge's avatar
NielsRogge committed
4979
        from .models.deta import DetaImageProcessor
4980
        from .models.detr import DetrFeatureExtractor, DetrImageProcessor
4981
        from .models.donut import DonutFeatureExtractor, DonutImageProcessor
amyeroberts's avatar
amyeroberts committed
4982
        from .models.dpt import DPTFeatureExtractor, DPTImageProcessor
4983
        from .models.efficientformer import EfficientFormerImageProcessor
Alara Dirik's avatar
Alara Dirik committed
4984
        from .models.efficientnet import EfficientNetImageProcessor
amyeroberts's avatar
amyeroberts committed
4985
4986
        from .models.flava import FlavaFeatureExtractor, FlavaImageProcessor, FlavaProcessor
        from .models.glpn import GLPNFeatureExtractor, GLPNImageProcessor
4987
        from .models.idefics import IdeficsImageProcessor
amyeroberts's avatar
amyeroberts committed
4988
4989
4990
4991
        from .models.imagegpt import ImageGPTFeatureExtractor, ImageGPTImageProcessor
        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor, LayoutLMv2ImageProcessor
        from .models.layoutlmv3 import LayoutLMv3FeatureExtractor, LayoutLMv3ImageProcessor
        from .models.levit import LevitFeatureExtractor, LevitImageProcessor
4992
        from .models.mask2former import Mask2FormerImageProcessor
4993
        from .models.maskformer import MaskFormerFeatureExtractor, MaskFormerImageProcessor
4994
        from .models.mobilenet_v1 import MobileNetV1FeatureExtractor, MobileNetV1ImageProcessor
4995
        from .models.mobilenet_v2 import MobileNetV2FeatureExtractor, MobileNetV2ImageProcessor
amyeroberts's avatar
amyeroberts committed
4996
        from .models.mobilevit import MobileViTFeatureExtractor, MobileViTImageProcessor
Jitesh Jain's avatar
Jitesh Jain committed
4997
        from .models.oneformer import OneFormerImageProcessor
4998
        from .models.owlvit import OwlViTFeatureExtractor, OwlViTImageProcessor
amyeroberts's avatar
amyeroberts committed
4999
        from .models.perceiver import PerceiverFeatureExtractor, PerceiverImageProcessor
Younes Belkada's avatar
Younes Belkada committed
5000
        from .models.pix2struct import Pix2StructImageProcessor
amyeroberts's avatar
amyeroberts committed
5001
        from .models.poolformer import PoolFormerFeatureExtractor, PoolFormerImageProcessor
Rinat's avatar
Rinat committed
5002
        from .models.pvt import PvtImageProcessor
5003
        from .models.sam import SamImageProcessor
amyeroberts's avatar
amyeroberts committed
5004
        from .models.segformer import SegformerFeatureExtractor, SegformerImageProcessor
NielsRogge's avatar
NielsRogge committed
5005
        from .models.swin2sr import Swin2SRImageProcessor
Zineng Tang's avatar
Zineng Tang committed
5006
        from .models.tvlt import TvltImageProcessor
amyeroberts's avatar
amyeroberts committed
5007
5008
5009
        from .models.videomae import VideoMAEFeatureExtractor, VideoMAEImageProcessor
        from .models.vilt import ViltFeatureExtractor, ViltImageProcessor, ViltProcessor
        from .models.vit import ViTFeatureExtractor, ViTImageProcessor
NielsRogge's avatar
NielsRogge committed
5010
        from .models.vit_hybrid import ViTHybridImageProcessor
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
5011
        from .models.vivit import VivitImageProcessor
5012
        from .models.yolos import YolosFeatureExtractor, YolosImageProcessor
5013

5014
    # Modeling
5015
5016
5017
5018
5019
5020
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_pt_objects import *
    else:
5021
5022
5023
5024
5025
5026
5027
5028
5029
5030
5031
5032
5033
5034
        # 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,
        )
5035
        from .generation import (
5036
            AlternatingCodebooksLogitsProcessor,
5037
5038
            BeamScorer,
            BeamSearchScorer,
5039
            ClassifierFreeGuidanceLogitsProcessor,
5040
            ConstrainedBeamSearchScorer,
5041
5042
5043
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
5044
5045
5046
5047
5048
            EncoderNoRepeatNGramLogitsProcessor,
            EncoderRepetitionPenaltyLogitsProcessor,
            EpsilonLogitsWarper,
            EtaLogitsWarper,
            ExponentialDecayLengthPenalty,
5049
5050
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
5051
            ForceTokensLogitsProcessor,
5052
            GenerationMixin,
5053
            HammingDiversityLogitsProcessor,
5054
            InfNanRemoveLogitsProcessor,
5055
            LogitNormalization,
5056
5057
5058
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
5059
5060
            MaxLengthCriteria,
            MaxTimeCriteria,
5061
            MinLengthLogitsProcessor,
5062
            MinNewTokensLengthLogitsProcessor,
5063
5064
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
5065
            PhrasalConstraint,
5066
5067
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
5068
            SequenceBiasLogitsProcessor,
5069
5070
            StoppingCriteria,
            StoppingCriteriaList,
5071
5072
            SuppressTokensAtBeginLogitsProcessor,
            SuppressTokensLogitsProcessor,
5073
5074
5075
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
5076
            TypicalLogitsWarper,
5077
5078
            UnbatchedClassifierFreeGuidanceLogitsProcessor,
            WhisperTimeStampLogitsProcessor,
5079
            top_k_top_p_filtering,
5080
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
5081
        from .modeling_utils import PreTrainedModel
5082
5083

        # PyTorch model imports
5084
5085
5086
5087
5088
5089
5090
5091
5092
5093
5094
5095
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
5096
5097
5098
5099
5100
5101
5102
        from .models.align import (
            ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlignModel,
            AlignPreTrainedModel,
            AlignTextModel,
            AlignVisionModel,
        )
Jongjyh's avatar
Jongjyh committed
5103
5104
5105
5106
5107
5108
5109
        from .models.altclip import (
            ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            AltCLIPModel,
            AltCLIPPreTrainedModel,
            AltCLIPTextModel,
            AltCLIPVisionModel,
        )
5110
5111
5112
5113
5114
5115
        from .models.audio_spectrogram_transformer import (
            AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ASTForAudioClassification,
            ASTModel,
            ASTPreTrainedModel,
        )
5116
        from .models.auto import (
5117
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
5118
            MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING,
5119
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
5120
            MODEL_FOR_BACKBONE_MAPPING,
NielsRogge's avatar
NielsRogge committed
5121
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
5122
            MODEL_FOR_CAUSAL_LM_MAPPING,
5123
            MODEL_FOR_CTC_MAPPING,
5124
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
5125
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
5126
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
5127
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
5128
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
5129
            MODEL_FOR_MASK_GENERATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
5130
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
5131
5132
5133
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
NielsRogge's avatar
NielsRogge committed
5134
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
5135
5136
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
5137
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
5138
5139
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
5140
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
5141
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
5142
            MODEL_FOR_TEXT_ENCODING_MAPPING,
5143
5144
            MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING,
            MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING,
5145
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
5146
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
5147
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
5148
            MODEL_FOR_VISION_2_SEQ_MAPPING,
5149
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
5150
            MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
5151
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
5152
5153
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
5154
            AutoBackbone,
5155
            AutoModel,
5156
            AutoModelForAudioClassification,
5157
5158
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
5159
            AutoModelForCausalLM,
5160
            AutoModelForCTC,
5161
            AutoModelForDepthEstimation,
5162
            AutoModelForDocumentQuestionAnswering,
5163
            AutoModelForImageClassification,
5164
            AutoModelForImageSegmentation,
5165
            AutoModelForInstanceSegmentation,
NielsRogge's avatar
NielsRogge committed
5166
            AutoModelForMaskedImageModeling,
5167
            AutoModelForMaskedLM,
5168
            AutoModelForMaskGeneration,
5169
5170
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
5171
            AutoModelForObjectDetection,
5172
5173
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
5174
            AutoModelForSemanticSegmentation,
5175
5176
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
5177
            AutoModelForSpeechSeq2Seq,
5178
            AutoModelForTableQuestionAnswering,
5179
            AutoModelForTextEncoding,
5180
5181
            AutoModelForTextToSpectrogram,
            AutoModelForTextToWaveform,
5182
            AutoModelForTokenClassification,
5183
            AutoModelForUniversalSegmentation,
NielsRogge's avatar
NielsRogge committed
5184
            AutoModelForVideoClassification,
5185
            AutoModelForVision2Seq,
5186
            AutoModelForVisualQuestionAnswering,
5187
            AutoModelForZeroShotImageClassification,
5188
            AutoModelForZeroShotObjectDetection,
5189
5190
            AutoModelWithLMHead,
        )
5191
5192
5193
5194
5195
5196
        from .models.autoformer import (
            AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            AutoformerForPrediction,
            AutoformerModel,
            AutoformerPreTrainedModel,
        )
Yoach Lacombe's avatar
Yoach Lacombe committed
5197
5198
5199
5200
5201
5202
5203
5204
5205
        from .models.bark import (
            BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
            BarkCausalModel,
            BarkCoarseModel,
            BarkFineModel,
            BarkModel,
            BarkPreTrainedModel,
            BarkSemanticModel,
        )
5206
5207
        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
5208
            BartForCausalLM,
5209
5210
5211
5212
            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
5213
            BartPreTrainedModel,
5214
5215
5216
            BartPretrainedModel,
            PretrainedBartModel,
        )
NielsRogge's avatar
NielsRogge committed
5217
5218
5219
5220
        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
5221
            BeitForSemanticSegmentation,
NielsRogge's avatar
NielsRogge committed
5222
5223
5224
            BeitModel,
            BeitPreTrainedModel,
        )
5225
5226
5227
5228
5229
5230
5231
5232
5233
5234
5235
5236
5237
5238
5239
5240
5241
5242
        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,
5243
            BertGenerationPreTrainedModel,
5244
5245
            load_tf_weights_in_bert_generation,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
5246
5247
5248
5249
5250
5251
5252
5253
5254
5255
5256
5257
5258
5259
        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
5260
5261
5262
5263
5264
5265
5266
        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
5267
            BigBirdPegasusPreTrainedModel,
Vasudev Gupta's avatar
Vasudev Gupta committed
5268
        )
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
5269
5270
5271
        from .models.biogpt import (
            BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BioGptForCausalLM,
5272
            BioGptForSequenceClassification,
5273
            BioGptForTokenClassification,
Kamal Raj Kanakarajan's avatar
Kamal Raj Kanakarajan committed
5274
5275
5276
            BioGptModel,
            BioGptPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5277
5278
5279
5280
5281
5282
5283
        from .models.bit import (
            BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BitBackbone,
            BitForImageClassification,
            BitModel,
            BitPreTrainedModel,
        )
5284
5285
        from .models.blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
5286
            BlenderbotForCausalLM,
5287
5288
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
5289
            BlenderbotPreTrainedModel,
5290
5291
5292
        )
        from .models.blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
5293
            BlenderbotSmallForCausalLM,
5294
5295
            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
5296
            BlenderbotSmallPreTrainedModel,
5297
        )
Younes Belkada's avatar
Younes Belkada committed
5298
5299
5300
5301
5302
5303
5304
5305
5306
5307
        from .models.blip import (
            BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlipForConditionalGeneration,
            BlipForImageTextRetrieval,
            BlipForQuestionAnswering,
            BlipModel,
            BlipPreTrainedModel,
            BlipTextModel,
            BlipVisionModel,
        )
NielsRogge's avatar
NielsRogge committed
5308
5309
5310
        from .models.blip_2 import (
            BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Blip2ForConditionalGeneration,
5311
            Blip2Model,
NielsRogge's avatar
NielsRogge committed
5312
5313
5314
5315
            Blip2PreTrainedModel,
            Blip2QFormerModel,
            Blip2VisionModel,
        )
Younes Belkada's avatar
Younes Belkada committed
5316
5317
5318
        from .models.bloom import (
            BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
            BloomForCausalLM,
5319
            BloomForQuestionAnswering,
5320
5321
            BloomForSequenceClassification,
            BloomForTokenClassification,
Younes Belkada's avatar
Younes Belkada committed
5322
5323
5324
            BloomModel,
            BloomPreTrainedModel,
        )
5325
5326
        from .models.bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
5327
            BridgeTowerForContrastiveLearning,
5328
5329
5330
5331
5332
            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )
5333
5334
5335
5336
5337
5338
5339
5340
5341
        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
5342
            CamembertPreTrainedModel,
5343
        )
NielsRogge's avatar
NielsRogge committed
5344
5345
5346
5347
5348
5349
5350
5351
5352
5353
5354
        from .models.canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )
5355
5356
5357
5358
5359
5360
5361
        from .models.chinese_clip import (
            CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ChineseCLIPModel,
            ChineseCLIPPreTrainedModel,
            ChineseCLIPTextModel,
            ChineseCLIPVisionModel,
        )
5362
5363
5364
5365
5366
5367
5368
5369
5370
5371
        from .models.clap import (
            CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
            ClapAudioModel,
            ClapAudioModelWithProjection,
            ClapFeatureExtractor,
            ClapModel,
            ClapPreTrainedModel,
            ClapTextModel,
            ClapTextModelWithProjection,
        )
Suraj Patil's avatar
Suraj Patil committed
5372
5373
5374
5375
5376
        from .models.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
5377
            CLIPTextModelWithProjection,
Suraj Patil's avatar
Suraj Patil committed
5378
            CLIPVisionModel,
5379
            CLIPVisionModelWithProjection,
Suraj Patil's avatar
Suraj Patil committed
5380
        )
NielsRogge's avatar
NielsRogge committed
5381
5382
5383
5384
5385
5386
5387
5388
        from .models.clipseg import (
            CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPSegForImageSegmentation,
            CLIPSegModel,
            CLIPSegPreTrainedModel,
            CLIPSegTextModel,
            CLIPSegVisionModel,
        )
rooa's avatar
rooa committed
5389
5390
5391
5392
5393
5394
        from .models.codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )
5395
5396
5397
5398
5399
5400
5401
        from .models.conditional_detr import (
            CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConditionalDetrForObjectDetection,
            ConditionalDetrForSegmentation,
            ConditionalDetrModel,
            ConditionalDetrPreTrainedModel,
        )
abhishek thakur's avatar
abhishek thakur committed
5402
5403
5404
5405
5406
5407
5408
5409
5410
5411
5412
5413
        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
5414
5415
        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
5416
            ConvNextBackbone,
NielsRogge's avatar
NielsRogge committed
5417
5418
5419
5420
            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
5421
5422
5423
5424
5425
5426
5427
        from .models.convnextv2 import (
            CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextV2Backbone,
            ConvNextV2ForImageClassification,
            ConvNextV2Model,
            ConvNextV2PreTrainedModel,
        )
5428
5429
5430
5431
5432
5433
        from .models.cpmant import (
            CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CpmAntForCausalLM,
            CpmAntModel,
            CpmAntPreTrainedModel,
        )
5434
5435
5436
5437
5438
5439
5440
        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5441
5442
5443
5444
5445
5446
        from .models.cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )
5447
5448
5449
        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
5450
            DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
5451
5452
5453
5454
5455
5456
5457
5458
5459
5460
5461
5462
5463
5464
            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
5465
5466
5467
5468
            Data2VecVisionForImageClassification,
            Data2VecVisionForSemanticSegmentation,
            Data2VecVisionModel,
            Data2VecVisionPreTrainedModel,
5469
        )
5470
5471
        from .models.deberta import (
            DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
5472
5473
            DebertaForMaskedLM,
            DebertaForQuestionAnswering,
5474
            DebertaForSequenceClassification,
NielsRogge's avatar
NielsRogge committed
5475
            DebertaForTokenClassification,
5476
5477
5478
            DebertaModel,
            DebertaPreTrainedModel,
        )
5479
5480
5481
        from .models.deberta_v2 import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaV2ForMaskedLM,
5482
            DebertaV2ForMultipleChoice,
5483
5484
5485
5486
5487
5488
            DebertaV2ForQuestionAnswering,
            DebertaV2ForSequenceClassification,
            DebertaV2ForTokenClassification,
            DebertaV2Model,
            DebertaV2PreTrainedModel,
        )
5489
5490
5491
5492
5493
5494
5495
        from .models.decision_transformer import (
            DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DecisionTransformerGPT2Model,
            DecisionTransformerGPT2PreTrainedModel,
            DecisionTransformerModel,
            DecisionTransformerPreTrainedModel,
        )
5496
5497
5498
5499
5500
5501
        from .models.deformable_detr import (
            DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeformableDetrForObjectDetection,
            DeformableDetrModel,
            DeformableDetrPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5502
5503
5504
5505
        from .models.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
NielsRogge's avatar
NielsRogge committed
5506
            DeiTForMaskedImageModeling,
NielsRogge's avatar
NielsRogge committed
5507
5508
5509
            DeiTModel,
            DeiTPreTrainedModel,
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
5510
5511
5512
5513
5514
5515
5516
        from .models.deprecated.mctct import (
            MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MCTCTForCTC,
            MCTCTModel,
            MCTCTPreTrainedModel,
        )
        from .models.deprecated.mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings
5517
5518
5519
5520
5521
5522
        from .models.deprecated.open_llama import (
            OpenLlamaForCausalLM,
            OpenLlamaForSequenceClassification,
            OpenLlamaModel,
            OpenLlamaPreTrainedModel,
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
5523
5524
5525
5526
5527
5528
5529
5530
5531
5532
5533
5534
5535
5536
5537
5538
        from .models.deprecated.retribert import (
            RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RetriBertModel,
            RetriBertPreTrainedModel,
        )
        from .models.deprecated.trajectory_transformer import (
            TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TrajectoryTransformerModel,
            TrajectoryTransformerPreTrainedModel,
        )
        from .models.deprecated.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5539
5540
5541
5542
5543
5544
        from .models.deta import (
            DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetaForObjectDetection,
            DetaModel,
            DetaPreTrainedModel,
        )
5545
5546
5547
5548
5549
5550
5551
        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
            DetrPreTrainedModel,
        )
5552
5553
        from .models.dinat import (
            DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
5554
            DinatBackbone,
5555
5556
5557
5558
            DinatForImageClassification,
            DinatModel,
            DinatPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5559
5560
        from .models.dinov2 import (
            DINOV2_PRETRAINED_MODEL_ARCHIVE_LIST,
5561
            Dinov2Backbone,
NielsRogge's avatar
NielsRogge committed
5562
5563
5564
5565
            Dinov2ForImageClassification,
            Dinov2Model,
            Dinov2PreTrainedModel,
        )
5566
5567
5568
5569
5570
5571
5572
5573
5574
5575
        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5576
        from .models.donut import DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST, DonutSwinModel, DonutSwinPreTrainedModel
5577
5578
5579
5580
5581
5582
        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,
5583
            DPRPreTrainedModel,
5584
5585
5586
5587
5588
            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )
NielsRogge's avatar
NielsRogge committed
5589
5590
5591
5592
5593
5594
5595
        from .models.dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )
5596
5597
5598
5599
5600
5601
5602
        from .models.efficientformer import (
            EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientFormerForImageClassification,
            EfficientFormerForImageClassificationWithTeacher,
            EfficientFormerModel,
            EfficientFormerPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
5603
5604
5605
5606
5607
5608
        from .models.efficientnet import (
            EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            EfficientNetForImageClassification,
            EfficientNetModel,
            EfficientNetPreTrainedModel,
        )
5609
5610
        from .models.electra import (
            ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
5611
            ElectraForCausalLM,
5612
5613
5614
5615
5616
5617
5618
5619
5620
5621
            ElectraForMaskedLM,
            ElectraForMultipleChoice,
            ElectraForPreTraining,
            ElectraForQuestionAnswering,
            ElectraForSequenceClassification,
            ElectraForTokenClassification,
            ElectraModel,
            ElectraPreTrainedModel,
            load_tf_weights_in_electra,
        )
5622
5623
5624
5625
5626
        from .models.encodec import (
            ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
            EncodecModel,
            EncodecPreTrainedModel,
        )
5627
        from .models.encoder_decoder import EncoderDecoderModel
5628
5629
5630
5631
5632
5633
5634
5635
5636
5637
5638
5639
5640
        from .models.ernie import (
            ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieForCausalLM,
            ErnieForMaskedLM,
            ErnieForMultipleChoice,
            ErnieForNextSentencePrediction,
            ErnieForPreTraining,
            ErnieForQuestionAnswering,
            ErnieForSequenceClassification,
            ErnieForTokenClassification,
            ErnieModel,
            ErniePreTrainedModel,
        )
5641
5642
5643
5644
5645
5646
5647
5648
5649
5650
        from .models.ernie_m import (
            ERNIE_M_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieMForInformationExtraction,
            ErnieMForMultipleChoice,
            ErnieMForQuestionAnswering,
            ErnieMForSequenceClassification,
            ErnieMForTokenClassification,
            ErnieMModel,
            ErnieMPreTrainedModel,
        )
5651
5652
        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
Matt's avatar
Matt committed
5653
            EsmFoldPreTrainedModel,
5654
            EsmForMaskedLM,
Matt's avatar
Matt committed
5655
            EsmForProteinFolding,
5656
5657
5658
5659
5660
            EsmForSequenceClassification,
            EsmForTokenClassification,
            EsmModel,
            EsmPreTrainedModel,
        )
Matt's avatar
Matt committed
5661
5662
5663
5664
5665
5666
5667
5668
5669
        from .models.falcon import (
            FALCON_PRETRAINED_MODEL_ARCHIVE_LIST,
            FalconForCausalLM,
            FalconForQuestionAnswering,
            FalconForSequenceClassification,
            FalconForTokenClassification,
            FalconModel,
            FalconPreTrainedModel,
        )
5670
5671
5672
5673
5674
5675
5676
5677
        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
5678
            FlaubertPreTrainedModel,
5679
5680
            FlaubertWithLMHeadModel,
        )
5681
5682
5683
5684
5685
5686
5687
5688
5689
5690
        from .models.flava import (
            FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlavaForPreTraining,
            FlavaImageCodebook,
            FlavaImageModel,
            FlavaModel,
            FlavaMultimodalModel,
            FlavaPreTrainedModel,
            FlavaTextModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
5691
5692
5693
5694
5695
5696
5697
5698
5699
5700
5701
5702
5703
        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5704
5705
        from .models.focalnet import (
            FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
Alara Dirik's avatar
Alara Dirik committed
5706
            FocalNetBackbone,
NielsRogge's avatar
NielsRogge committed
5707
5708
5709
5710
5711
            FocalNetForImageClassification,
            FocalNetForMaskedImageModeling,
            FocalNetModel,
            FocalNetPreTrainedModel,
        )
5712
5713
5714
5715
5716
5717
5718
5719
5720
5721
5722
        from .models.fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel
        from .models.funnel import (
            FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            FunnelBaseModel,
            FunnelForMaskedLM,
            FunnelForMultipleChoice,
            FunnelForPreTraining,
            FunnelForQuestionAnswering,
            FunnelForSequenceClassification,
            FunnelForTokenClassification,
            FunnelModel,
5723
            FunnelPreTrainedModel,
5724
5725
            load_tf_weights_in_funnel,
        )
5726
5727
5728
5729
5730
5731
5732
        from .models.git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )
NielsRogge's avatar
NielsRogge committed
5733
5734
5735
5736
5737
5738
        from .models.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
5739
5740
5741
        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
peter-sk's avatar
peter-sk committed
5742
            GPT2ForQuestionAnswering,
5743
            GPT2ForSequenceClassification,
5744
            GPT2ForTokenClassification,
5745
5746
5747
5748
5749
            GPT2LMHeadModel,
            GPT2Model,
            GPT2PreTrainedModel,
            load_tf_weights_in_gpt2,
        )
5750
5751
5752
5753
5754
5755
5756
5757
        from .models.gpt_bigcode import (
            GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTBigCodeForCausalLM,
            GPTBigCodeForSequenceClassification,
            GPTBigCodeForTokenClassification,
            GPTBigCodeModel,
            GPTBigCodePreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
5758
5759
5760
        from .models.gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
peter-sk's avatar
peter-sk committed
5761
            GPTNeoForQuestionAnswering,
5762
            GPTNeoForSequenceClassification,
5763
            GPTNeoForTokenClassification,
Suraj Patil's avatar
Suraj Patil committed
5764
5765
5766
5767
            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
5768
5769
5770
        from .models.gpt_neox import (
            GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXForCausalLM,
5771
            GPTNeoXForQuestionAnswering,
5772
            GPTNeoXForSequenceClassification,
5773
            GPTNeoXForTokenClassification,
5774
5775
5776
5777
            GPTNeoXLayer,
            GPTNeoXModel,
            GPTNeoXPreTrainedModel,
        )
5778
5779
5780
5781
5782
5783
5784
        from .models.gpt_neox_japanese import (
            GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXJapaneseForCausalLM,
            GPTNeoXJapaneseLayer,
            GPTNeoXJapaneseModel,
            GPTNeoXJapanesePreTrainedModel,
        )
Stella Biderman's avatar
Stella Biderman committed
5785
5786
5787
        from .models.gptj import (
            GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTJForCausalLM,
5788
            GPTJForQuestionAnswering,
Stella Biderman's avatar
Stella Biderman committed
5789
5790
5791
5792
            GPTJForSequenceClassification,
            GPTJModel,
            GPTJPreTrainedModel,
        )
5793
5794
5795
5796
5797
5798
        from .models.gptsan_japanese import (
            GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTSanJapaneseForConditionalGeneration,
            GPTSanJapaneseModel,
            GPTSanJapanesePreTrainedModel,
        )
5799
5800
5801
5802
5803
5804
        from .models.graphormer import (
            GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            GraphormerForGraphClassification,
            GraphormerModel,
            GraphormerPreTrainedModel,
        )
5805
5806
5807
5808
5809
5810
5811
        from .models.groupvit import (
            GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GroupViTModel,
            GroupViTPreTrainedModel,
            GroupViTTextModel,
            GroupViTVisionModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
5812
5813
5814
        from .models.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
5815
            HubertForSequenceClassification,
Patrick von Platen's avatar
Patrick von Platen committed
5816
5817
5818
            HubertModel,
            HubertPreTrainedModel,
        )
Sehoon Kim's avatar
Sehoon Kim committed
5819
5820
5821
5822
5823
5824
5825
5826
        from .models.ibert import (
            IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            IBertForMaskedLM,
            IBertForMultipleChoice,
            IBertForQuestionAnswering,
            IBertForSequenceClassification,
            IBertForTokenClassification,
            IBertModel,
5827
            IBertPreTrainedModel,
Sehoon Kim's avatar
Sehoon Kim committed
5828
        )
5829
5830
5831
5832
5833
5834
5835
        from .models.idefics import (
            IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST,
            IdeficsForVisionText2Text,
            IdeficsModel,
            IdeficsPreTrainedModel,
            IdeficsProcessor,
        )
NielsRogge's avatar
NielsRogge committed
5836
5837
        from .models.imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
5838
            ImageGPTForCausalImageModeling,
NielsRogge's avatar
NielsRogge committed
5839
5840
5841
5842
5843
            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )
5844
5845
5846
5847
5848
5849
        from .models.informer import (
            INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            InformerForPrediction,
            InformerModel,
            InformerPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5850
5851
5852
5853
5854
5855
5856
        from .models.instructblip import (
            INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            InstructBlipForConditionalGeneration,
            InstructBlipPreTrainedModel,
            InstructBlipQFormerModel,
            InstructBlipVisionModel,
        )
5857
5858
5859
5860
5861
5862
5863
        from .models.jukebox import (
            JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            JukeboxModel,
            JukeboxPreTrainedModel,
            JukeboxPrior,
            JukeboxVQVAE,
        )
5864
5865
5866
        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
5867
            LayoutLMForQuestionAnswering,
NielsRogge's avatar
NielsRogge committed
5868
            LayoutLMForSequenceClassification,
5869
5870
            LayoutLMForTokenClassification,
            LayoutLMModel,
5871
            LayoutLMPreTrainedModel,
5872
        )
5873
5874
5875
5876
5877
5878
5879
        from .models.layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
NielsRogge's avatar
NielsRogge committed
5880
5881
5882
5883
5884
5885
5886
5887
        )
        from .models.layoutlmv3 import (
            LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv3ForQuestionAnswering,
            LayoutLMv3ForSequenceClassification,
            LayoutLMv3ForTokenClassification,
            LayoutLMv3Model,
            LayoutLMv3PreTrainedModel,
5888
        )
5889
5890
5891
5892
5893
5894
        from .models.led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
5895
            LEDPreTrainedModel,
5896
        )
5897
5898
5899
5900
5901
5902
5903
        from .models.levit import (
            LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5904
5905
5906
5907
5908
5909
5910
5911
        from .models.lilt import (
            LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LiltForQuestionAnswering,
            LiltForSequenceClassification,
            LiltForTokenClassification,
            LiltModel,
            LiltPreTrainedModel,
        )
5912
        from .models.llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel
5913
5914
5915
5916
5917
5918
5919
5920
        from .models.longformer import (
            LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
            LongformerModel,
5921
            LongformerPreTrainedModel,
5922
5923
            LongformerSelfAttention,
        )
Daniel Stancl's avatar
Daniel Stancl committed
5924
5925
5926
5927
5928
5929
5930
        from .models.longt5 import (
            LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongT5EncoderModel,
            LongT5ForConditionalGeneration,
            LongT5Model,
            LongT5PreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
5931
5932
5933
5934
5935
        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
Ryokan RI's avatar
Ryokan RI committed
5936
            LukeForMaskedLM,
5937
5938
5939
5940
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
NielsRogge's avatar
NielsRogge committed
5941
5942
5943
            LukeModel,
            LukePreTrainedModel,
        )
5944
5945
5946
5947
5948
5949
5950
5951
5952
        from .models.lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )
5953
5954
5955
5956
5957
5958
        from .models.m2m_100 import (
            M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
            M2M100ForConditionalGeneration,
            M2M100Model,
            M2M100PreTrainedModel,
        )
5959
        from .models.marian import MarianForCausalLM, MarianModel, MarianMTModel
NielsRogge's avatar
NielsRogge committed
5960
5961
5962
5963
5964
5965
5966
5967
        from .models.markuplm import (
            MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            MarkupLMForQuestionAnswering,
            MarkupLMForSequenceClassification,
            MarkupLMForTokenClassification,
            MarkupLMModel,
            MarkupLMPreTrainedModel,
        )
Alara Dirik's avatar
Alara Dirik committed
5968
5969
5970
5971
5972
5973
        from .models.mask2former import (
            MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            Mask2FormerForUniversalSegmentation,
            Mask2FormerModel,
            Mask2FormerPreTrainedModel,
        )
5974
5975
5976
5977
5978
        from .models.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
5979
            MaskFormerSwinBackbone,
5980
        )
5981
        from .models.mbart import (
5982
            MBartForCausalLM,
5983
5984
5985
5986
            MBartForConditionalGeneration,
            MBartForQuestionAnswering,
            MBartForSequenceClassification,
            MBartModel,
5987
            MBartPreTrainedModel,
5988
        )
5989
5990
5991
5992
5993
5994
5995
5996
5997
5998
5999
        from .models.mega import (
            MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegaForCausalLM,
            MegaForMaskedLM,
            MegaForMultipleChoice,
            MegaForQuestionAnswering,
            MegaForSequenceClassification,
            MegaForTokenClassification,
            MegaModel,
            MegaPreTrainedModel,
        )
6000
6001
6002
6003
6004
6005
6006
6007
6008
6009
6010
        from .models.megatron_bert import (
            MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegatronBertForCausalLM,
            MegatronBertForMaskedLM,
            MegatronBertForMultipleChoice,
            MegatronBertForNextSentencePrediction,
            MegatronBertForPreTraining,
            MegatronBertForQuestionAnswering,
            MegatronBertForSequenceClassification,
            MegatronBertForTokenClassification,
            MegatronBertModel,
6011
            MegatronBertPreTrainedModel,
6012
        )
wangpeng's avatar
wangpeng committed
6013
6014
6015
6016
6017
6018
        from .models.mgp_str import (
            MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
            MgpstrForSceneTextRecognition,
            MgpstrModel,
            MgpstrPreTrainedModel,
        )
6019
6020
6021
6022
6023
6024
6025
6026
6027
6028
6029
6030
6031
6032
        from .models.mobilebert import (
            MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileBertForMaskedLM,
            MobileBertForMultipleChoice,
            MobileBertForNextSentencePrediction,
            MobileBertForPreTraining,
            MobileBertForQuestionAnswering,
            MobileBertForSequenceClassification,
            MobileBertForTokenClassification,
            MobileBertLayer,
            MobileBertModel,
            MobileBertPreTrainedModel,
            load_tf_weights_in_mobilebert,
        )
6033
6034
6035
6036
6037
6038
6039
        from .models.mobilenet_v1 import (
            MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV1ForImageClassification,
            MobileNetV1Model,
            MobileNetV1PreTrainedModel,
            load_tf_weights_in_mobilenet_v1,
        )
6040
6041
6042
6043
6044
6045
6046
6047
        from .models.mobilenet_v2 import (
            MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileNetV2ForImageClassification,
            MobileNetV2ForSemanticSegmentation,
            MobileNetV2Model,
            MobileNetV2PreTrainedModel,
            load_tf_weights_in_mobilenet_v2,
        )
6048
6049
6050
6051
6052
6053
6054
        from .models.mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
6055
6056
6057
6058
6059
6060
6061
        from .models.mobilevitv2 import (
            MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTV2ForImageClassification,
            MobileViTV2ForSemanticSegmentation,
            MobileViTV2Model,
            MobileViTV2PreTrainedModel,
        )
6062
6063
6064
6065
6066
6067
6068
6069
6070
6071
6072
        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
6073
6074
6075
6076
6077
6078
6079
6080
6081
        from .models.mpt import (
            MPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MptForCausalLM,
            MptForQuestionAnswering,
            MptForSequenceClassification,
            MptForTokenClassification,
            MptModel,
            MptPreTrainedModel,
        )
6082
6083
6084
6085
6086
6087
6088
6089
6090
6091
        from .models.mra import (
            MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
            MraForMaskedLM,
            MraForMultipleChoice,
            MraForQuestionAnswering,
            MraForSequenceClassification,
            MraForTokenClassification,
            MraModel,
            MraPreTrainedModel,
        )
6092
6093
6094
6095
        from .models.mt5 import (
            MT5EncoderModel,
            MT5ForConditionalGeneration,
            MT5ForQuestionAnswering,
6096
            MT5ForSequenceClassification,
6097
6098
6099
            MT5Model,
            MT5PreTrainedModel,
        )
Sanchit Gandhi's avatar
Sanchit Gandhi committed
6100
6101
6102
6103
6104
6105
6106
6107
        from .models.musicgen import (
            MUSICGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            MusicgenForCausalLM,
            MusicgenForConditionalGeneration,
            MusicgenModel,
            MusicgenPreTrainedModel,
            MusicgenProcessor,
        )
StevenTang1998's avatar
StevenTang1998 committed
6108
6109
6110
6111
6112
6113
6114
6115
6116
        from .models.mvp import (
            MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
            MvpForCausalLM,
            MvpForConditionalGeneration,
            MvpForQuestionAnswering,
            MvpForSequenceClassification,
            MvpModel,
            MvpPreTrainedModel,
        )
6117
6118
        from .models.nat import (
            NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
6119
            NatBackbone,
6120
6121
6122
6123
            NatForImageClassification,
            NatModel,
            NatPreTrainedModel,
        )
6124
6125
6126
6127
6128
6129
6130
6131
6132
6133
6134
6135
        from .models.nezha import (
            NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
            NezhaForMaskedLM,
            NezhaForMultipleChoice,
            NezhaForNextSentencePrediction,
            NezhaForPreTraining,
            NezhaForQuestionAnswering,
            NezhaForSequenceClassification,
            NezhaForTokenClassification,
            NezhaModel,
            NezhaPreTrainedModel,
        )
6136
6137
6138
6139
6140
6141
6142
6143
        from .models.nllb_moe import (
            NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
            NllbMoeForConditionalGeneration,
            NllbMoeModel,
            NllbMoePreTrainedModel,
            NllbMoeSparseMLP,
            NllbMoeTop2Router,
        )
novice's avatar
novice committed
6144
6145
6146
6147
6148
6149
6150
6151
6152
6153
6154
        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
Jitesh Jain's avatar
Jitesh Jain committed
6155
6156
6157
6158
6159
6160
        from .models.oneformer import (
            ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            OneFormerForUniversalSegmentation,
            OneFormerModel,
            OneFormerPreTrainedModel,
        )
6161
6162
6163
6164
6165
6166
6167
6168
6169
        from .models.openai import (
            OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OpenAIGPTDoubleHeadsModel,
            OpenAIGPTForSequenceClassification,
            OpenAIGPTLMHeadModel,
            OpenAIGPTModel,
            OpenAIGPTPreTrainedModel,
            load_tf_weights_in_openai_gpt,
        )
6170
6171
6172
        from .models.opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
6173
            OPTForQuestionAnswering,
6174
6175
6176
6177
            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )
6178
6179
6180
6181
6182
6183
6184
6185
        from .models.owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )
6186
6187
6188
6189
6190
6191
        from .models.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
Jason Phang's avatar
Jason Phang committed
6192
6193
6194
6195
6196
6197
        from .models.pegasus_x import (
            PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusXForConditionalGeneration,
            PegasusXModel,
            PegasusXPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6198
6199
6200
6201
6202
6203
6204
6205
6206
6207
6208
6209
6210
        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
Younes Belkada's avatar
Younes Belkada committed
6211
6212
6213
6214
6215
6216
6217
        from .models.pix2struct import (
            PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Pix2StructForConditionalGeneration,
            Pix2StructPreTrainedModel,
            Pix2StructTextModel,
            Pix2StructVisionModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
6218
6219
6220
6221
6222
6223
6224
6225
        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
Tanay Mehta's avatar
Tanay Mehta committed
6226
6227
6228
6229
6230
6231
        from .models.poolformer import (
            POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PoolFormerForImageClassification,
            PoolFormerModel,
            PoolFormerPreTrainedModel,
        )
Susnato Dhar's avatar
Susnato Dhar committed
6232
6233
6234
6235
6236
        from .models.pop2piano import (
            POP2PIANO_PRETRAINED_MODEL_ARCHIVE_LIST,
            Pop2PianoForConditionalGeneration,
            Pop2PianoPreTrainedModel,
        )
6237
6238
6239
6240
6241
6242
6243
6244
6245
        from .models.prophetnet import (
            PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ProphetNetDecoder,
            ProphetNetEncoder,
            ProphetNetForCausalLM,
            ProphetNetForConditionalGeneration,
            ProphetNetModel,
            ProphetNetPreTrainedModel,
        )
Rinat's avatar
Rinat committed
6246
6247
6248
6249
6250
6251
        from .models.pvt import (
            PVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            PvtForImageClassification,
            PvtModel,
            PvtPreTrainedModel,
        )
6252
6253
6254
6255
6256
6257
6258
6259
6260
6261
6262
6263
6264
6265
        from .models.qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )
6266
        from .models.rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
6267
6268
6269
6270
6271
6272
6273
6274
6275
6276
6277
        from .models.realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmRetriever,
            RealmScorer,
            load_tf_weights_in_realm,
        )
6278
6279
6280
6281
6282
6283
6284
6285
6286
        from .models.reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
6287
            ReformerPreTrainedModel,
6288
        )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
6289
6290
6291
6292
6293
6294
        from .models.regnet import (
            REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            RegNetForImageClassification,
            RegNetModel,
            RegNetPreTrainedModel,
        )
6295
6296
6297
6298
6299
6300
6301
6302
6303
6304
6305
6306
6307
        from .models.rembert import (
            REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RemBertForCausalLM,
            RemBertForMaskedLM,
            RemBertForMultipleChoice,
            RemBertForQuestionAnswering,
            RemBertForSequenceClassification,
            RemBertForTokenClassification,
            RemBertLayer,
            RemBertModel,
            RemBertPreTrainedModel,
            load_tf_weights_in_rembert,
        )
6308
6309
        from .models.resnet import (
            RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
6310
            ResNetBackbone,
6311
6312
6313
6314
            ResNetForImageClassification,
            ResNetModel,
            ResNetPreTrainedModel,
        )
6315
6316
6317
6318
6319
6320
6321
6322
6323
        from .models.roberta import (
            ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaForCausalLM,
            RobertaForMaskedLM,
            RobertaForMultipleChoice,
            RobertaForQuestionAnswering,
            RobertaForSequenceClassification,
            RobertaForTokenClassification,
            RobertaModel,
6324
            RobertaPreTrainedModel,
6325
        )
6326
6327
6328
6329
6330
6331
6332
6333
6334
6335
6336
        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
6337
6338
6339
6340
6341
6342
6343
6344
6345
6346
6347
6348
6349
6350
        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,
        )
6351
6352
6353
6354
6355
6356
6357
6358
6359
6360
6361
6362
6363
        from .models.roformer import (
            ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoFormerForCausalLM,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
            RoFormerLayer,
            RoFormerModel,
            RoFormerPreTrainedModel,
            load_tf_weights_in_roformer,
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
6364
6365
6366
6367
6368
6369
        from .models.rwkv import (
            RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
            RwkvForCausalLM,
            RwkvModel,
            RwkvPreTrainedModel,
        )
6370
6371
6372
6373
6374
        from .models.sam import (
            SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            SamModel,
            SamPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6375
6376
6377
6378
6379
6380
6381
6382
6383
        from .models.segformer import (
            SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SegformerDecodeHead,
            SegformerForImageClassification,
            SegformerForSemanticSegmentation,
            SegformerLayer,
            SegformerModel,
            SegformerPreTrainedModel,
        )
6384
6385
6386
6387
6388
6389
6390
6391
6392
6393
6394
6395
6396
6397
        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,
        )
6398
        from .models.speech_encoder_decoder import SpeechEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
6399
6400
6401
6402
        from .models.speech_to_text import (
            SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Speech2TextForConditionalGeneration,
            Speech2TextModel,
6403
            Speech2TextPreTrainedModel,
Suraj Patil's avatar
Suraj Patil committed
6404
        )
6405
        from .models.speech_to_text_2 import Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel
6406
6407
6408
6409
6410
6411
6412
6413
6414
        from .models.speecht5 import (
            SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            SpeechT5ForSpeechToSpeech,
            SpeechT5ForSpeechToText,
            SpeechT5ForTextToSpeech,
            SpeechT5HifiGan,
            SpeechT5Model,
            SpeechT5PreTrainedModel,
        )
Ori Ram's avatar
Ori Ram committed
6415
6416
        from .models.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
6417
            SplinterForPreTraining,
Ori Ram's avatar
Ori Ram committed
6418
6419
6420
6421
6422
            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )
6423
6424
6425
6426
6427
6428
6429
6430
6431
6432
6433
        from .models.squeezebert import (
            SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            SqueezeBertForMaskedLM,
            SqueezeBertForMultipleChoice,
            SqueezeBertForQuestionAnswering,
            SqueezeBertForSequenceClassification,
            SqueezeBertForTokenClassification,
            SqueezeBertModel,
            SqueezeBertModule,
            SqueezeBertPreTrainedModel,
        )
Shehan Munasinghe's avatar
Shehan Munasinghe committed
6434
6435
6436
6437
6438
6439
        from .models.swiftformer import (
            SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwiftFormerForImageClassification,
            SwiftFormerModel,
            SwiftFormerPreTrainedModel,
        )
novice's avatar
novice committed
6440
6441
        from .models.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
6442
            SwinBackbone,
novice's avatar
novice committed
6443
            SwinForImageClassification,
NielsRogge's avatar
NielsRogge committed
6444
            SwinForMaskedImageModeling,
novice's avatar
novice committed
6445
6446
6447
            SwinModel,
            SwinPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6448
6449
6450
6451
6452
6453
        from .models.swin2sr import (
            SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swin2SRForImageSuperResolution,
            Swin2SRModel,
            Swin2SRPreTrainedModel,
        )
6454
6455
6456
6457
6458
6459
6460
        from .models.swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )
6461
6462
6463
6464
6465
6466
6467
6468
6469
        from .models.switch_transformers import (
            SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwitchTransformersEncoderModel,
            SwitchTransformersForConditionalGeneration,
            SwitchTransformersModel,
            SwitchTransformersPreTrainedModel,
            SwitchTransformersSparseMLP,
            SwitchTransformersTop1Router,
        )
6470
6471
6472
6473
        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
6474
            T5ForQuestionAnswering,
6475
            T5ForSequenceClassification,
6476
6477
6478
6479
            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
6480
6481
6482
6483
6484
6485
        from .models.table_transformer import (
            TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TableTransformerForObjectDetection,
            TableTransformerModel,
            TableTransformerPreTrainedModel,
        )
6486
6487
6488
6489
6490
6491
6492
6493
6494
        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )
6495
6496
6497
6498
6499
6500
        from .models.time_series_transformer import (
            TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimeSeriesTransformerForPrediction,
            TimeSeriesTransformerModel,
            TimeSeriesTransformerPreTrainedModel,
        )
6501
6502
6503
6504
6505
6506
        from .models.timesformer import (
            TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimesformerForVideoClassification,
            TimesformerModel,
            TimesformerPreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
6507
        from .models.timm_backbone import TimmBackbone
6508
6509
6510
6511
6512
6513
6514
6515
6516
        from .models.transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )
6517
        from .models.trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel
Zineng Tang's avatar
Zineng Tang committed
6518
6519
6520
6521
6522
6523
6524
        from .models.tvlt import (
            TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TvltForAudioVisualClassification,
            TvltForPreTraining,
            TvltModel,
            TvltPreTrainedModel,
        )
6525
6526
6527
6528
        from .models.umt5 import (
            UMT5EncoderModel,
            UMT5ForConditionalGeneration,
            UMT5ForQuestionAnswering,
6529
            UMT5ForSequenceClassification,
6530
6531
6532
            UMT5Model,
            UMT5PreTrainedModel,
        )
6533
6534
6535
6536
6537
6538
6539
6540
6541
6542
        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,
6543
            UniSpeechSatForAudioFrameClassification,
6544
6545
6546
            UniSpeechSatForCTC,
            UniSpeechSatForPreTraining,
            UniSpeechSatForSequenceClassification,
6547
            UniSpeechSatForXVector,
6548
6549
6550
            UniSpeechSatModel,
            UniSpeechSatPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6551
        from .models.upernet import UperNetForSemanticSegmentation, UperNetPreTrainedModel
NielsRogge's avatar
NielsRogge committed
6552
6553
6554
6555
6556
6557
6558
        from .models.videomae import (
            VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            VideoMAEForPreTraining,
            VideoMAEForVideoClassification,
            VideoMAEModel,
            VideoMAEPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6559
6560
6561
6562
6563
6564
        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
6565
            ViltForTokenClassification,
NielsRogge's avatar
NielsRogge committed
6566
6567
6568
6569
            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )
6570
        from .models.vision_encoder_decoder import VisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
6571
        from .models.vision_text_dual_encoder import VisionTextDualEncoderModel
6572
        from .models.visual_bert import (
Gunjan Chhablani's avatar
Gunjan Chhablani committed
6573
6574
6575
6576
6577
6578
6579
6580
6581
6582
            VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VisualBertForMultipleChoice,
            VisualBertForPreTraining,
            VisualBertForQuestionAnswering,
            VisualBertForRegionToPhraseAlignment,
            VisualBertForVisualReasoning,
            VisualBertLayer,
            VisualBertModel,
            VisualBertPreTrainedModel,
        )
6583
6584
6585
        from .models.vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
NielsRogge's avatar
NielsRogge committed
6586
            ViTForMaskedImageModeling,
6587
6588
6589
            ViTModel,
            ViTPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6590
6591
6592
6593
6594
6595
        from .models.vit_hybrid import (
            VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTHybridForImageClassification,
            ViTHybridModel,
            ViTHybridPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6596
6597
6598
6599
6600
6601
6602
        from .models.vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
6603
6604
6605
6606
6607
6608
        from .models.vit_msn import (
            VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMSNForImageClassification,
            ViTMSNModel,
            ViTMSNPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6609
6610
6611
6612
6613
6614
        from .models.vitdet import (
            VITDET_PRETRAINED_MODEL_ARCHIVE_LIST,
            VitDetBackbone,
            VitDetModel,
            VitDetPreTrainedModel,
        )
Matthijs Hollemans's avatar
Matthijs Hollemans committed
6615
6616
6617
6618
6619
        from .models.vits import (
            VITS_PRETRAINED_MODEL_ARCHIVE_LIST,
            VitsModel,
            VitsPreTrainedModel,
        )
Jegor Kitškerkin's avatar
Jegor Kitškerkin committed
6620
6621
6622
6623
6624
6625
        from .models.vivit import (
            VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VivitForVideoClassification,
            VivitModel,
            VivitPreTrainedModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
6626
6627
        from .models.wav2vec2 import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
6628
            Wav2Vec2ForAudioFrameClassification,
6629
            Wav2Vec2ForCTC,
Patrick von Platen's avatar
Patrick von Platen committed
6630
            Wav2Vec2ForMaskedLM,
Anton Lozhkov's avatar
Anton Lozhkov committed
6631
            Wav2Vec2ForPreTraining,
6632
            Wav2Vec2ForSequenceClassification,
6633
            Wav2Vec2ForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
6634
6635
6636
            Wav2Vec2Model,
            Wav2Vec2PreTrainedModel,
        )
6637
6638
6639
6640
6641
6642
6643
6644
6645
6646
        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
6647
6648
        from .models.wavlm import (
            WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
6649
            WavLMForAudioFrameClassification,
Patrick von Platen's avatar
Patrick von Platen committed
6650
6651
            WavLMForCTC,
            WavLMForSequenceClassification,
6652
            WavLMForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
6653
6654
6655
            WavLMModel,
            WavLMPreTrainedModel,
        )
6656
6657
        from .models.whisper import (
            WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
6658
            WhisperForAudioClassification,
6659
6660
6661
6662
            WhisperForConditionalGeneration,
            WhisperModel,
            WhisperPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6663
6664
6665
6666
6667
6668
6669
        from .models.x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )
Suraj Patil's avatar
Suraj Patil committed
6670
        from .models.xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel
6671
6672
6673
6674
6675
6676
6677
6678
6679
6680
6681
6682
6683
6684
6685
6686
6687
6688
        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,
6689
            XLMProphetNetPreTrainedModel,
6690
6691
6692
6693
6694
6695
6696
6697
6698
6699
        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
6700
            XLMRobertaPreTrainedModel,
6701
        )
6702
6703
6704
6705
6706
6707
6708
6709
6710
6711
6712
        from .models.xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )
6713
6714
6715
6716
6717
6718
6719
6720
6721
6722
6723
6724
        from .models.xlnet import (
            XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLNetForMultipleChoice,
            XLNetForQuestionAnswering,
            XLNetForQuestionAnsweringSimple,
            XLNetForSequenceClassification,
            XLNetForTokenClassification,
            XLNetLMHeadModel,
            XLNetModel,
            XLNetPreTrainedModel,
            load_tf_weights_in_xlnet,
        )
Jannis Vamvas's avatar
Jannis Vamvas committed
6725
6726
6727
6728
6729
6730
6731
6732
6733
6734
6735
        from .models.xmod import (
            XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
            XmodForCausalLM,
            XmodForMaskedLM,
            XmodForMultipleChoice,
            XmodForQuestionAnswering,
            XmodForSequenceClassification,
            XmodForTokenClassification,
            XmodModel,
            XmodPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
6736
6737
6738
6739
6740
6741
        from .models.yolos import (
            YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
            YolosForObjectDetection,
            YolosModel,
            YolosPreTrainedModel,
        )
novice's avatar
novice committed
6742
6743
6744
6745
6746
6747
6748
6749
6750
6751
6752
        from .models.yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )
6753
6754
6755
6756
6757
6758
6759
6760
6761

        # 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,
6762
            get_inverse_sqrt_schedule,
6763
6764
6765
6766
            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )
6767
        from .pytorch_utils import Conv1D, apply_chunking_to_forward, prune_layer
6768
6769
6770
6771
6772
6773
6774

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

    # TensorFlow
6775
6776
6777
6778
6779
6780
6781
6782
    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:
6783
6784
6785
6786
        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
6787
        from .generation import (
6788
6789
            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
6790
            TFForceTokensLogitsProcessor,
6791
            TFGenerationMixin,
6792
6793
            TFLogitsProcessor,
            TFLogitsProcessorList,
6794
            TFLogitsWarper,
6795
6796
6797
6798
            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
6799
6800
            TFSuppressTokensAtBeginLogitsProcessor,
            TFSuppressTokensLogitsProcessor,
6801
6802
6803
            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
6804
            tf_top_k_top_p_filtering,
6805
        )
6806
        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
6807
        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
6808
6809

        # TensorFlow model imports
6810
6811
6812
6813
6814
6815
6816
6817
6818
6819
6820
6821
6822
        from .models.albert import (
            TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAlbertForMaskedLM,
            TFAlbertForMultipleChoice,
            TFAlbertForPreTraining,
            TFAlbertForQuestionAnswering,
            TFAlbertForSequenceClassification,
            TFAlbertForTokenClassification,
            TFAlbertMainLayer,
            TFAlbertModel,
            TFAlbertPreTrainedModel,
        )
        from .models.auto import (
6823
            TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
6824
            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
6825
            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
Yih-Dar's avatar
Yih-Dar committed
6826
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
6827
            TF_MODEL_FOR_MASK_GENERATION_MAPPING,
6828
            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
6829
6830
6831
6832
6833
            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,
6834
            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
6835
6836
            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
Joao Gante's avatar
Joao Gante committed
6837
            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
Kamal Raj's avatar
Kamal Raj committed
6838
            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
6839
            TF_MODEL_FOR_TEXT_ENCODING_MAPPING,
6840
            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
6841
            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
6842
            TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
6843
6844
6845
            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
6846
            TFAutoModelForAudioClassification,
6847
            TFAutoModelForCausalLM,
6848
            TFAutoModelForDocumentQuestionAnswering,
Yih-Dar's avatar
Yih-Dar committed
6849
            TFAutoModelForImageClassification,
6850
            TFAutoModelForMaskedImageModeling,
6851
            TFAutoModelForMaskedLM,
6852
            TFAutoModelForMaskGeneration,
6853
            TFAutoModelForMultipleChoice,
6854
            TFAutoModelForNextSentencePrediction,
6855
6856
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
6857
            TFAutoModelForSemanticSegmentation,
6858
6859
            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
Joao Gante's avatar
Joao Gante committed
6860
            TFAutoModelForSpeechSeq2Seq,
Kamal Raj's avatar
Kamal Raj committed
6861
            TFAutoModelForTableQuestionAnswering,
6862
            TFAutoModelForTextEncoding,
6863
            TFAutoModelForTokenClassification,
6864
            TFAutoModelForVision2Seq,
6865
            TFAutoModelForZeroShotImageClassification,
6866
6867
            TFAutoModelWithLMHead,
        )
6868
6869
6870
6871
6872
6873
        from .models.bart import (
            TFBartForConditionalGeneration,
            TFBartForSequenceClassification,
            TFBartModel,
            TFBartPretrainedModel,
        )
6874
6875
6876
6877
6878
6879
6880
6881
6882
6883
6884
6885
6886
6887
6888
        from .models.bert import (
            TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBertEmbeddings,
            TFBertForMaskedLM,
            TFBertForMultipleChoice,
            TFBertForNextSentencePrediction,
            TFBertForPreTraining,
            TFBertForQuestionAnswering,
            TFBertForSequenceClassification,
            TFBertForTokenClassification,
            TFBertLMHeadModel,
            TFBertMainLayer,
            TFBertModel,
            TFBertPreTrainedModel,
        )
6889
6890
6891
6892
6893
6894
6895
6896
6897
6898
        from .models.blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )
        from .models.blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )
Matt's avatar
Matt committed
6899
6900
6901
6902
6903
6904
6905
6906
6907
6908
        from .models.blip import (
            TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBlipForConditionalGeneration,
            TFBlipForImageTextRetrieval,
            TFBlipForQuestionAnswering,
            TFBlipModel,
            TFBlipPreTrainedModel,
            TFBlipTextModel,
            TFBlipVisionModel,
        )
6909
6910
        from .models.camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
6911
            TFCamembertForCausalLM,
6912
6913
6914
6915
6916
6917
            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
6918
            TFCamembertPreTrainedModel,
6919
        )
Yih-Dar's avatar
Yih-Dar committed
6920
6921
6922
6923
6924
6925
6926
        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
abhishek thakur's avatar
abhishek thakur committed
6927
6928
6929
6930
6931
6932
6933
6934
6935
6936
6937
        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
6938
        from .models.convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel
6939
6940
6941
6942
6943
6944
6945
        from .models.ctrl import (
            TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCTRLForSequenceClassification,
            TFCTRLLMHeadModel,
            TFCTRLModel,
            TFCTRLPreTrainedModel,
        )
6946
6947
6948
6949
6950
6951
        from .models.cvt import (
            TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCvtForImageClassification,
            TFCvtModel,
            TFCvtPreTrainedModel,
        )
6952
6953
        from .models.data2vec import (
            TFData2VecVisionForImageClassification,
6954
            TFData2VecVisionForSemanticSegmentation,
6955
6956
6957
            TFData2VecVisionModel,
            TFData2VecVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
6958
6959
6960
6961
6962
6963
6964
6965
6966
        from .models.deberta import (
            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaForMaskedLM,
            TFDebertaForQuestionAnswering,
            TFDebertaForSequenceClassification,
            TFDebertaForTokenClassification,
            TFDebertaModel,
            TFDebertaPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
6967
6968
6969
6970
6971
6972
6973
6974
6975
        from .models.deberta_v2 import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaV2ForMaskedLM,
            TFDebertaV2ForQuestionAnswering,
            TFDebertaV2ForSequenceClassification,
            TFDebertaV2ForTokenClassification,
            TFDebertaV2Model,
            TFDebertaV2PreTrainedModel,
        )
6976
6977
6978
6979
6980
6981
6982
6983
        from .models.deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )
6984
6985
6986
6987
6988
6989
6990
6991
6992
6993
6994
6995
6996
6997
6998
6999
7000
7001
7002
7003
7004
7005
        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,
        )
7006
7007
7008
7009
7010
7011
7012
        from .models.efficientformer import (
            TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEfficientFormerForImageClassification,
            TFEfficientFormerForImageClassificationWithTeacher,
            TFEfficientFormerModel,
            TFEfficientFormerPreTrainedModel,
        )
7013
7014
7015
7016
7017
7018
7019
7020
7021
7022
7023
        from .models.electra import (
            TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFElectraForMaskedLM,
            TFElectraForMultipleChoice,
            TFElectraForPreTraining,
            TFElectraForQuestionAnswering,
            TFElectraForSequenceClassification,
            TFElectraForTokenClassification,
            TFElectraModel,
            TFElectraPreTrainedModel,
        )
7024
        from .models.encoder_decoder import TFEncoderDecoderModel
Matt's avatar
Matt committed
7025
7026
7027
7028
7029
7030
7031
7032
        from .models.esm import (
            ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFEsmForMaskedLM,
            TFEsmForSequenceClassification,
            TFEsmForTokenClassification,
            TFEsmModel,
            TFEsmPreTrainedModel,
        )
7033
7034
7035
7036
7037
7038
7039
        from .models.flaubert import (
            TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFlaubertForMultipleChoice,
            TFFlaubertForQuestionAnsweringSimple,
            TFFlaubertForSequenceClassification,
            TFFlaubertForTokenClassification,
            TFFlaubertModel,
7040
            TFFlaubertPreTrainedModel,
7041
7042
7043
7044
7045
7046
7047
7048
7049
7050
7051
7052
            TFFlaubertWithLMHeadModel,
        )
        from .models.funnel import (
            TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFunnelBaseModel,
            TFFunnelForMaskedLM,
            TFFunnelForMultipleChoice,
            TFFunnelForPreTraining,
            TFFunnelForQuestionAnswering,
            TFFunnelForSequenceClassification,
            TFFunnelForTokenClassification,
            TFFunnelModel,
7053
            TFFunnelPreTrainedModel,
7054
7055
7056
7057
7058
7059
7060
7061
7062
7063
        )
        from .models.gpt2 import (
            TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGPT2DoubleHeadsModel,
            TFGPT2ForSequenceClassification,
            TFGPT2LMHeadModel,
            TFGPT2MainLayer,
            TFGPT2Model,
            TFGPT2PreTrainedModel,
        )
7064
7065
7066
7067
7068
7069
        from .models.gptj import (
            TFGPTJForCausalLM,
            TFGPTJForQuestionAnswering,
            TFGPTJForSequenceClassification,
            TFGPTJModel,
            TFGPTJPreTrainedModel,
7070
7071
7072
7073
7074
7075
7076
        )
        from .models.groupvit import (
            TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGroupViTModel,
            TFGroupViTPreTrainedModel,
            TFGroupViTTextModel,
            TFGroupViTVisionModel,
7077
        )
Will Rice's avatar
Will Rice committed
7078
7079
7080
7081
7082
7083
        from .models.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
Sylvain Gugger's avatar
Sylvain Gugger committed
7084
7085
7086
7087
7088
7089
7090
7091
7092
7093
        from .models.layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
            TFLayoutLMForQuestionAnswering,
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
7094
7095
7096
7097
7098
7099
7100
7101
        from .models.layoutlmv3 import (
            TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMv3ForQuestionAnswering,
            TFLayoutLMv3ForSequenceClassification,
            TFLayoutLMv3ForTokenClassification,
            TFLayoutLMv3Model,
            TFLayoutLMv3PreTrainedModel,
        )
7102
7103
7104
7105
7106
7107
7108
7109
7110
        from .models.led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel
        from .models.longformer import (
            TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLongformerForMaskedLM,
            TFLongformerForMultipleChoice,
            TFLongformerForQuestionAnswering,
            TFLongformerForSequenceClassification,
            TFLongformerForTokenClassification,
            TFLongformerModel,
7111
            TFLongformerPreTrainedModel,
7112
7113
7114
7115
7116
7117
7118
7119
7120
7121
            TFLongformerSelfAttention,
        )
        from .models.lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )
7122
7123
        from .models.marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
        from .models.mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel
7124
7125
7126
7127
7128
7129
7130
7131
7132
7133
7134
7135
        from .models.mobilebert import (
            TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFMobileBertForMaskedLM,
            TFMobileBertForMultipleChoice,
            TFMobileBertForNextSentencePrediction,
            TFMobileBertForPreTraining,
            TFMobileBertForQuestionAnswering,
            TFMobileBertForSequenceClassification,
            TFMobileBertForTokenClassification,
            TFMobileBertMainLayer,
            TFMobileBertModel,
            TFMobileBertPreTrainedModel,
7136
7137
7138
        )
        from .models.mobilevit import (
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
Sayak Paul's avatar
Sayak Paul committed
7139
7140
7141
7142
            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
7143
7144
7145
7146
7147
7148
7149
7150
7151
7152
7153
7154
7155
7156
7157
7158
7159
7160
7161
7162
7163
7164
        )
        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
7165
        from .models.opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel
7166
7167
        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
7168
7169
7170
7171
7172
7173
        from .models.regnet import (
            TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRegNetForImageClassification,
            TFRegNetModel,
            TFRegNetPreTrainedModel,
        )
7174
7175
7176
7177
7178
7179
7180
7181
7182
7183
7184
7185
        from .models.rembert import (
            TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRemBertForCausalLM,
            TFRemBertForMaskedLM,
            TFRemBertForMultipleChoice,
            TFRemBertForQuestionAnswering,
            TFRemBertForSequenceClassification,
            TFRemBertForTokenClassification,
            TFRemBertLayer,
            TFRemBertModel,
            TFRemBertPreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
7186
7187
7188
7189
7190
7191
        from .models.resnet import (
            TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFResNetForImageClassification,
            TFResNetModel,
            TFResNetPreTrainedModel,
        )
7192
7193
        from .models.roberta import (
            TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
7194
            TFRobertaForCausalLM,
7195
7196
7197
7198
7199
7200
7201
7202
7203
            TFRobertaForMaskedLM,
            TFRobertaForMultipleChoice,
            TFRobertaForQuestionAnswering,
            TFRobertaForSequenceClassification,
            TFRobertaForTokenClassification,
            TFRobertaMainLayer,
            TFRobertaModel,
            TFRobertaPreTrainedModel,
        )
7204
7205
7206
7207
7208
7209
7210
7211
7212
7213
7214
7215
        from .models.roberta_prelayernorm import (
            TF_ROBERTA_PRELAYERNORM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRobertaPreLayerNormForCausalLM,
            TFRobertaPreLayerNormForMaskedLM,
            TFRobertaPreLayerNormForMultipleChoice,
            TFRobertaPreLayerNormForQuestionAnswering,
            TFRobertaPreLayerNormForSequenceClassification,
            TFRobertaPreLayerNormForTokenClassification,
            TFRobertaPreLayerNormMainLayer,
            TFRobertaPreLayerNormModel,
            TFRobertaPreLayerNormPreTrainedModel,
        )
7216
7217
7218
7219
7220
7221
7222
7223
7224
7225
7226
7227
        from .models.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
7228
7229
7230
7231
7232
        from .models.sam import (
            TF_SAM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSamModel,
            TFSamPreTrainedModel,
        )
7233
7234
7235
7236
7237
7238
7239
7240
        from .models.segformer import (
            TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSegformerDecodeHead,
            TFSegformerForImageClassification,
            TFSegformerForSemanticSegmentation,
            TFSegformerModel,
            TFSegformerPreTrainedModel,
        )
Joao Gante's avatar
Joao Gante committed
7241
7242
7243
7244
7245
7246
        from .models.speech_to_text import (
            TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSpeech2TextForConditionalGeneration,
            TFSpeech2TextModel,
            TFSpeech2TextPreTrainedModel,
        )
7247
7248
7249
7250
7251
7252
7253
        from .models.swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )
7254
7255
7256
7257
7258
7259
7260
        from .models.t5 import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFT5EncoderModel,
            TFT5ForConditionalGeneration,
            TFT5Model,
            TFT5PreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
7261
7262
7263
7264
7265
7266
7267
7268
        from .models.tapas import (
            TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTapasForMaskedLM,
            TFTapasForQuestionAnswering,
            TFTapasForSequenceClassification,
            TFTapasModel,
            TFTapasPreTrainedModel,
        )
7269
7270
7271
7272
7273
7274
7275
7276
7277
        from .models.transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )
7278
        from .models.vision_encoder_decoder import TFVisionEncoderDecoderModel
Matt's avatar
Matt committed
7279
        from .models.vision_text_dual_encoder import TFVisionTextDualEncoderModel
Yih-Dar's avatar
Yih-Dar committed
7280
        from .models.vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel
Sayak Paul's avatar
Sayak Paul committed
7281
        from .models.vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel
Will Rice's avatar
Will Rice committed
7282
7283
7284
        from .models.wav2vec2 import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWav2Vec2ForCTC,
7285
            TFWav2Vec2ForSequenceClassification,
Will Rice's avatar
Will Rice committed
7286
7287
7288
            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
7289
7290
7291
7292
7293
7294
        from .models.whisper import (
            TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWhisperForConditionalGeneration,
            TFWhisperModel,
            TFWhisperPreTrainedModel,
        )
7295
7296
7297
7298
7299
7300
        from .models.xglm import (
            TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXGLMForCausalLM,
            TFXGLMModel,
            TFXGLMPreTrainedModel,
        )
7301
7302
7303
7304
7305
7306
7307
7308
7309
7310
7311
7312
7313
        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,
7314
            TFXLMRobertaForCausalLM,
7315
7316
7317
7318
7319
7320
            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
7321
            TFXLMRobertaPreTrainedModel,
7322
7323
7324
7325
7326
7327
7328
7329
7330
7331
7332
7333
7334
7335
7336
7337
7338
7339
7340
        )
        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

Susnato Dhar's avatar
Susnato Dhar committed
7341
7342
7343
7344
7345
7346
7347
7348
7349
7350
7351
7352
7353
7354
    try:
        if not (
            is_librosa_available()
            and is_essentia_available()
            and is_scipy_available()
            and is_torch_available()
            and is_pretty_midi_available()
        ):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_essentia_and_librosa_and_pretty_midi_and_scipy_and_torch_objects import *
    else:
        from .models.pop2piano import Pop2PianoFeatureExtractor, Pop2PianoProcessor, Pop2PianoTokenizer

7355
7356
7357
7358
    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
7359
7360
        # 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.
7361
7362
        from .utils.dummy_flax_objects import *
    else:
7363
        from .generation import (
7364
7365
            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
7366
            FlaxForceTokensLogitsProcessor,
7367
            FlaxGenerationMixin,
Patrick von Platen's avatar
Patrick von Platen committed
7368
7369
7370
            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
7371
            FlaxMinLengthLogitsProcessor,
7372
7373
            FlaxSuppressTokensAtBeginLogitsProcessor,
            FlaxSuppressTokensLogitsProcessor,
Patrick von Platen's avatar
Patrick von Platen committed
7374
7375
7376
            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
7377
            FlaxWhisperTimeStampLogitsProcessor,
Patrick von Platen's avatar
Patrick von Platen committed
7378
        )
7379
        from .modeling_flax_utils import FlaxPreTrainedModel
7380
7381

        # Flax model imports
Kamal Raj's avatar
Kamal Raj committed
7382
7383
7384
7385
7386
7387
7388
7389
7390
7391
        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
7392
        from .models.auto import (
7393
            FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
Suraj Patil's avatar
Suraj Patil committed
7394
            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
7395
            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
7396
7397
7398
7399
7400
            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,
7401
            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
7402
            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
7403
            FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
7404
            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
7405
            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
7406
7407
            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
Suraj Patil's avatar
Suraj Patil committed
7408
            FlaxAutoModelForCausalLM,
7409
            FlaxAutoModelForImageClassification,
7410
7411
7412
7413
7414
            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
7415
            FlaxAutoModelForSeq2SeqLM,
7416
            FlaxAutoModelForSequenceClassification,
7417
            FlaxAutoModelForSpeechSeq2Seq,
7418
            FlaxAutoModelForTokenClassification,
7419
            FlaxAutoModelForVision2Seq,
7420
        )
Daniel Stancl's avatar
Daniel Stancl committed
7421
        from .models.bart import (
7422
7423
            FlaxBartDecoderPreTrainedModel,
            FlaxBartForCausalLM,
Daniel Stancl's avatar
Daniel Stancl committed
7424
7425
7426
7427
            FlaxBartForConditionalGeneration,
            FlaxBartForQuestionAnswering,
            FlaxBartForSequenceClassification,
            FlaxBartModel,
7428
            FlaxBartPreTrainedModel,
Daniel Stancl's avatar
Daniel Stancl committed
7429
        )
Kamal Raj's avatar
Kamal Raj committed
7430
7431
7432
7433
7434
7435
        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
7436
        from .models.bert import (
7437
            FlaxBertForCausalLM,
7438
7439
7440
7441
7442
7443
7444
7445
7446
7447
            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
7448
        from .models.big_bird import (
7449
            FlaxBigBirdForCausalLM,
Vasudev Gupta's avatar
Vasudev Gupta committed
7450
7451
7452
7453
7454
7455
7456
7457
7458
            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )
7459
7460
7461
7462
7463
        from .models.blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )
7464
7465
7466
7467
7468
        from .models.blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )
Sanchit Gandhi's avatar
Sanchit Gandhi committed
7469
        from .models.bloom import FlaxBloomForCausalLM, FlaxBloomModel, FlaxBloomPreTrainedModel
7470
7471
7472
7473
        from .models.clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
7474
            FlaxCLIPTextModelWithProjection,
7475
7476
7477
7478
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
7479
7480
7481
7482
7483
7484
7485
7486
7487
        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
7488
        from .models.electra import (
7489
            FlaxElectraForCausalLM,
7490
7491
7492
7493
7494
7495
7496
7497
7498
            FlaxElectraForMaskedLM,
            FlaxElectraForMultipleChoice,
            FlaxElectraForPreTraining,
            FlaxElectraForQuestionAnswering,
            FlaxElectraForSequenceClassification,
            FlaxElectraForTokenClassification,
            FlaxElectraModel,
            FlaxElectraPreTrainedModel,
        )
7499
        from .models.encoder_decoder import FlaxEncoderDecoderModel
7500
        from .models.gpt2 import FlaxGPT2LMHeadModel, FlaxGPT2Model, FlaxGPT2PreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
7501
        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
7502
        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
7503
        from .models.longt5 import FlaxLongT5ForConditionalGeneration, FlaxLongT5Model, FlaxLongT5PreTrainedModel
7504
        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
7505
7506
7507
7508
7509
7510
7511
        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
Crystina's avatar
Crystina committed
7512
        from .models.mt5 import FlaxMT5EncoderModel, FlaxMT5ForConditionalGeneration, FlaxMT5Model
Arthur's avatar
Arthur committed
7513
        from .models.opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel
7514
        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
Shubhamai's avatar
Shubhamai committed
7515
        from .models.regnet import FlaxRegNetForImageClassification, FlaxRegNetModel, FlaxRegNetPreTrainedModel
Shubhamai's avatar
Shubhamai committed
7516
        from .models.resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel
7517
        from .models.roberta import (
7518
            FlaxRobertaForCausalLM,
7519
7520
7521
7522
7523
7524
7525
7526
            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
7527
7528
7529
7530
7531
7532
7533
7534
7535
7536
        from .models.roberta_prelayernorm import (
            FlaxRobertaPreLayerNormForCausalLM,
            FlaxRobertaPreLayerNormForMaskedLM,
            FlaxRobertaPreLayerNormForMultipleChoice,
            FlaxRobertaPreLayerNormForQuestionAnswering,
            FlaxRobertaPreLayerNormForSequenceClassification,
            FlaxRobertaPreLayerNormForTokenClassification,
            FlaxRobertaPreLayerNormModel,
            FlaxRobertaPreLayerNormPreTrainedModel,
        )
Daniel Stancl's avatar
Daniel Stancl committed
7537
7538
7539
7540
7541
7542
7543
7544
7545
        from .models.roformer import (
            FlaxRoFormerForMaskedLM,
            FlaxRoFormerForMultipleChoice,
            FlaxRoFormerForQuestionAnswering,
            FlaxRoFormerForSequenceClassification,
            FlaxRoFormerForTokenClassification,
            FlaxRoFormerModel,
            FlaxRoFormerPreTrainedModel,
        )
7546
        from .models.speech_encoder_decoder import FlaxSpeechEncoderDecoderModel
Crystina's avatar
Crystina committed
7547
        from .models.t5 import FlaxT5EncoderModel, FlaxT5ForConditionalGeneration, FlaxT5Model, FlaxT5PreTrainedModel
7548
        from .models.vision_encoder_decoder import FlaxVisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
7549
        from .models.vision_text_dual_encoder import FlaxVisionTextDualEncoderModel
7550
        from .models.vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel
7551
7552
7553
7554
7555
7556
        from .models.wav2vec2 import (
            FlaxWav2Vec2ForCTC,
            FlaxWav2Vec2ForPreTraining,
            FlaxWav2Vec2Model,
            FlaxWav2Vec2PreTrainedModel,
        )
7557
7558
7559
7560
7561
7562
        from .models.whisper import (
            FlaxWhisperForAudioClassification,
            FlaxWhisperForConditionalGeneration,
            FlaxWhisperModel,
            FlaxWhisperPreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
7563
        from .models.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
7564
        from .models.xlm_roberta import (
7565
7566
            FLAX_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaxXLMRobertaForCausalLM,
7567
7568
7569
7570
7571
7572
            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
7573
            FlaxXLMRobertaPreTrainedModel,
7574
        )
7575

7576

7577
else:
7578
7579
    import sys

Sylvain Gugger's avatar
Sylvain Gugger committed
7580
    sys.modules[__name__] = _LazyModule(
7581
7582
7583
7584
7585
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
        extra_objects={"__version__": __version__},
Sylvain Gugger's avatar
Sylvain Gugger committed
7586
    )
7587

7588

7589
if not is_tf_available() and not is_torch_available() and not is_flax_available():
7590
    logger.warning(
7591
        "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. "
7592
        "Models won't be available and only tokenizers, configuration "
7593
7594
        "and file/data utilities can be used."
    )