__init__.py 201 KB
Newer Older
1
2
3
4
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.

Sylvain Gugger's avatar
Sylvain Gugger committed
5
6
7
8
9
10
11
12
13
14
15
16
17
18
# 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.

19
20
21
22
23
24
# 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).

Lysandre's avatar
Lysandre committed
25
__version__ = "4.22.0.dev0"
26

27
from typing import TYPE_CHECKING
28

29
30
# Check the dependencies satisfy the minimal versions required.
from . import dependency_versions_check
31
from .utils import (
32
    OptionalDependencyNotAvailable,
Sylvain Gugger's avatar
Sylvain Gugger committed
33
    _LazyModule,
34
    is_flax_available,
35
    is_scatter_available,
36
    is_sentencepiece_available,
37
    is_speech_available,
38
    is_tensorflow_text_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
39
    is_tf_available,
NielsRogge's avatar
NielsRogge committed
40
    is_timm_available,
41
    is_tokenizers_available,
Aymeric Augustin's avatar
Aymeric Augustin committed
42
    is_torch_available,
43
    is_vision_available,
44
    logging,
Aymeric Augustin's avatar
Aymeric Augustin committed
45
)
Julien Chaumond's avatar
Julien Chaumond committed
46

47

48
logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
49

50

51
52
# Base objects, independent of any specific backend
_import_structure = {
53
54
    "benchmark": [],
    "commands": [],
55
    "configuration_utils": ["PretrainedConfig"],
56
57
58
    "convert_graph_to_onnx": [],
    "convert_slow_tokenizers_checkpoints_to_fast": [],
    "convert_tf_hub_seq_to_seq_bert_to_pytorch": [],
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
    "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",
    ],
79
80
81
82
83
84
85
86
87
    "data.data_collator": [
        "DataCollator",
        "DataCollatorForLanguageModeling",
        "DataCollatorForPermutationLanguageModeling",
        "DataCollatorForSeq2Seq",
        "DataCollatorForSOP",
        "DataCollatorForTokenClassification",
        "DataCollatorForWholeWordMask",
        "DataCollatorWithPadding",
88
        "DefaultDataCollator",
89
90
        "default_data_collator",
    ],
91
92
93
94
95
    "data.metrics": [],
    "data.processors": [],
    "debug_utils": [],
    "dependency_versions_check": [],
    "dependency_versions_table": [],
96
    "dynamic_module_utils": [],
97
    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
98
    "feature_extraction_utils": ["BatchFeature", "FeatureExtractionMixin"],
99
    "file_utils": [],
100
101
102
    "hf_argparser": ["HfArgumentParser"],
    "integrations": [
        "is_comet_available",
103
        "is_neptune_available",
104
105
106
        "is_optuna_available",
        "is_ray_available",
        "is_ray_tune_available",
107
        "is_sigopt_available",
108
109
110
111
112
113
114
115
116
117
118
119
120
        "is_tensorboard_available",
        "is_wandb_available",
    ],
    "modelcard": ["ModelCard"],
    "modeling_tf_pytorch_utils": [
        "convert_tf_weight_name_to_pt_weight_name",
        "load_pytorch_checkpoint_in_tf2_model",
        "load_pytorch_model_in_tf2_model",
        "load_pytorch_weights_in_tf2_model",
        "load_tf2_checkpoint_in_pytorch_model",
        "load_tf2_model_in_pytorch_model",
        "load_tf2_weights_in_pytorch_model",
    ],
Sylvain Gugger's avatar
Sylvain Gugger committed
121
    "models": [],
122
    # Models
123
124
125
126
    "models.albert": ["ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "AlbertConfig"],
    "models.auto": [
        "ALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CONFIG_MAPPING",
127
        "FEATURE_EXTRACTOR_MAPPING",
128
        "MODEL_NAMES_MAPPING",
Sylvain Gugger's avatar
Sylvain Gugger committed
129
        "PROCESSOR_MAPPING",
130
131
        "TOKENIZER_MAPPING",
        "AutoConfig",
132
        "AutoFeatureExtractor",
Sylvain Gugger's avatar
Sylvain Gugger committed
133
        "AutoProcessor",
134
135
136
137
        "AutoTokenizer",
    ],
    "models.bart": ["BartConfig", "BartTokenizer"],
    "models.barthez": [],
138
    "models.bartpho": [],
NielsRogge's avatar
NielsRogge committed
139
    "models.beit": ["BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BeitConfig"],
140
141
142
143
144
145
146
147
148
149
    "models.bert": [
        "BERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BasicTokenizer",
        "BertConfig",
        "BertTokenizer",
        "WordpieceTokenizer",
    ],
    "models.bert_generation": ["BertGenerationConfig"],
    "models.bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"],
    "models.bertweet": ["BertweetTokenizer"],
150
    "models.big_bird": ["BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP", "BigBirdConfig"],
Vasudev Gupta's avatar
Vasudev Gupta committed
151
152
153
154
    "models.bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
    ],
155
156
157
158
159
160
    "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
161
    "models.bloom": ["BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP", "BloomConfig"],
162
    "models.bort": [],
Patrick von Platen's avatar
Patrick von Platen committed
163
    "models.byt5": ["ByT5Tokenizer"],
164
    "models.camembert": ["CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CamembertConfig"],
NielsRogge's avatar
NielsRogge committed
165
    "models.canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig", "CanineTokenizer"],
Suraj Patil's avatar
Suraj Patil committed
166
167
168
    "models.clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
NielsRogge's avatar
NielsRogge committed
169
        "CLIPProcessor",
Suraj Patil's avatar
Suraj Patil committed
170
171
172
173
        "CLIPTextConfig",
        "CLIPTokenizer",
        "CLIPVisionConfig",
    ],
rooa's avatar
rooa committed
174
    "models.codegen": ["CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "CodeGenConfig", "CodeGenTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
175
    "models.convbert": ["CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvBertConfig", "ConvBertTokenizer"],
NielsRogge's avatar
NielsRogge committed
176
    "models.convnext": ["CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ConvNextConfig"],
177
    "models.cpm": [],
178
    "models.ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig", "CTRLTokenizer"],
NielsRogge's avatar
NielsRogge committed
179
    "models.cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"],
180
181
182
183
184
185
186
    "models.data2vec": [
        "DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Data2VecAudioConfig",
        "Data2VecTextConfig",
        "Data2VecVisionConfig",
    ],
187
    "models.deberta": ["DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaConfig", "DebertaTokenizer"],
188
    "models.deberta_v2": ["DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP", "DebertaV2Config"],
189
    "models.decision_transformer": ["DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig"],
NielsRogge's avatar
NielsRogge committed
190
    "models.deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
NielsRogge's avatar
NielsRogge committed
191
    "models.detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig"],
192
    "models.dialogpt": [],
193
    "models.distilbert": ["DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DistilBertConfig", "DistilBertTokenizer"],
194
    "models.dit": [],
NielsRogge's avatar
NielsRogge committed
195
    "models.donut": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutProcessor", "DonutSwinConfig"],
196
197
198
199
200
201
202
203
    "models.dpr": [
        "DPR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DPRConfig",
        "DPRContextEncoderTokenizer",
        "DPRQuestionEncoderTokenizer",
        "DPRReaderOutput",
        "DPRReaderTokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
204
    "models.dpt": ["DPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DPTConfig"],
205
206
    "models.electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraConfig", "ElectraTokenizer"],
    "models.encoder_decoder": ["EncoderDecoderConfig"],
207
208
209
210
    "models.ernie": [
        "ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ErnieConfig",
    ],
211
    "models.flaubert": ["FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FlaubertConfig", "FlaubertTokenizer"],
212
213
214
215
216
217
218
219
    "models.flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
220
    "models.fnet": ["FNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "FNetConfig"],
221
222
    "models.fsmt": ["FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP", "FSMTConfig", "FSMTTokenizer"],
    "models.funnel": ["FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP", "FunnelConfig", "FunnelTokenizer"],
NielsRogge's avatar
NielsRogge committed
223
    "models.glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"],
224
    "models.gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2Tokenizer"],
Suraj Patil's avatar
Suraj Patil committed
225
    "models.gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig"],
226
    "models.gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"],
Stella Biderman's avatar
Stella Biderman committed
227
    "models.gptj": ["GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTJConfig"],
228
229
230
231
232
233
    "models.groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
234
    "models.herbert": ["HerbertTokenizer"],
Patrick von Platen's avatar
Patrick von Platen committed
235
    "models.hubert": ["HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "HubertConfig"],
Sehoon Kim's avatar
Sehoon Kim committed
236
    "models.ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig"],
NielsRogge's avatar
NielsRogge committed
237
    "models.imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig"],
238
    "models.layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMTokenizer"],
239
240
241
242
243
244
245
    "models.layoutlmv2": [
        "LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv2Config",
        "LayoutLMv2FeatureExtractor",
        "LayoutLMv2Processor",
        "LayoutLMv2Tokenizer",
    ],
NielsRogge's avatar
NielsRogge committed
246
247
248
249
250
251
252
    "models.layoutlmv3": [
        "LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LayoutLMv3Config",
        "LayoutLMv3FeatureExtractor",
        "LayoutLMv3Processor",
        "LayoutLMv3Tokenizer",
    ],
253
    "models.layoutxlm": ["LayoutXLMProcessor"],
254
    "models.led": ["LED_PRETRAINED_CONFIG_ARCHIVE_MAP", "LEDConfig", "LEDTokenizer"],
255
    "models.levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig"],
256
    "models.longformer": ["LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongformerConfig", "LongformerTokenizer"],
Daniel Stancl's avatar
Daniel Stancl committed
257
    "models.longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config"],
NielsRogge's avatar
NielsRogge committed
258
    "models.luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig", "LukeTokenizer"],
259
    "models.lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig", "LxmertTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
260
    "models.m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config"],
261
    "models.marian": ["MarianConfig"],
262
    "models.maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig"],
263
    "models.mbart": ["MBartConfig"],
264
    "models.mbart50": [],
Chan Woo Kim's avatar
Chan Woo Kim committed
265
    "models.mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig", "MCTCTProcessor"],
266
    "models.megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
267
    "models.megatron_gpt2": [],
Ryokan RI's avatar
Ryokan RI committed
268
    "models.mluke": [],
269
270
    "models.mmbt": ["MMBTConfig"],
    "models.mobilebert": ["MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileBertConfig", "MobileBertTokenizer"],
271
    "models.mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MobileViTConfig"],
272
273
    "models.mpnet": ["MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "MPNetConfig", "MPNetTokenizer"],
    "models.mt5": ["MT5Config"],
StevenTang1998's avatar
StevenTang1998 committed
274
    "models.mvp": ["MvpConfig", "MvpTokenizer"],
275
    "models.nezha": ["NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP", "NezhaConfig"],
Lysandre Debut's avatar
Lysandre Debut committed
276
    "models.nllb": [],
novice's avatar
novice committed
277
278
279
280
    "models.nystromformer": [
        "NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "NystromformerConfig",
    ],
281
    "models.openai": ["OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenAIGPTConfig", "OpenAIGPTTokenizer"],
Younes Belkada's avatar
Younes Belkada committed
282
    "models.opt": ["OPTConfig"],
283
284
285
286
287
288
289
    "models.owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTProcessor",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
290
    "models.pegasus": ["PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusConfig", "PegasusTokenizer"],
Jason Phang's avatar
Jason Phang committed
291
    "models.pegasus_x": ["PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP", "PegasusXConfig"],
NielsRogge's avatar
NielsRogge committed
292
    "models.perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "PerceiverTokenizer"],
293
    "models.phobert": ["PhobertTokenizer"],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
294
    "models.plbart": ["PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP", "PLBartConfig"],
Tanay Mehta's avatar
Tanay Mehta committed
295
    "models.poolformer": ["POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PoolFormerConfig"],
296
    "models.prophetnet": ["PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ProphetNetConfig", "ProphetNetTokenizer"],
297
    "models.qdqbert": ["QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "QDQBertConfig"],
298
    "models.rag": ["RagConfig", "RagRetriever", "RagTokenizer"],
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
299
    "models.realm": ["REALM_PRETRAINED_CONFIG_ARCHIVE_MAP", "RealmConfig", "RealmTokenizer"],
300
    "models.reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"],
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
301
    "models.regnet": ["REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "RegNetConfig"],
302
    "models.rembert": ["REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RemBertConfig"],
303
    "models.resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig"],
304
305
    "models.retribert": ["RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RetriBertConfig", "RetriBertTokenizer"],
    "models.roberta": ["ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP", "RobertaConfig", "RobertaTokenizer"],
306
    "models.roformer": ["ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "RoFormerConfig", "RoFormerTokenizer"],
NielsRogge's avatar
NielsRogge committed
307
    "models.segformer": ["SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SegformerConfig"],
308
309
    "models.sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"],
    "models.sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"],
310
    "models.speech_encoder_decoder": ["SpeechEncoderDecoderConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
311
312
313
314
    "models.speech_to_text": [
        "SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2TextConfig",
    ],
315
316
317
318
319
320
    "models.speech_to_text_2": [
        "SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Speech2Text2Config",
        "Speech2Text2Processor",
        "Speech2Text2Tokenizer",
    ],
Ori Ram's avatar
Ori Ram committed
321
    "models.splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig", "SplinterTokenizer"],
322
    "models.squeezebert": ["SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "SqueezeBertConfig", "SqueezeBertTokenizer"],
novice's avatar
novice committed
323
    "models.swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig"],
324
    "models.swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
325
326
    "models.t5": ["T5_PRETRAINED_CONFIG_ARCHIVE_MAP", "T5Config"],
    "models.tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig", "TapasTokenizer"],
NielsRogge's avatar
NielsRogge committed
327
    "models.tapex": ["TapexTokenizer"],
Carl's avatar
Carl committed
328
329
330
331
    "models.trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
332
333
334
335
336
337
    "models.transfo_xl": [
        "TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TransfoXLConfig",
        "TransfoXLCorpus",
        "TransfoXLTokenizer",
    ],
338
339
340
341
342
    "models.trocr": [
        "TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrOCRConfig",
        "TrOCRProcessor",
    ],
343
344
345
346
347
348
349
350
    "models.unispeech": [
        "UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechConfig",
    ],
    "models.unispeech_sat": [
        "UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "UniSpeechSatConfig",
    ],
351
    "models.van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"],
NielsRogge's avatar
NielsRogge committed
352
    "models.videomae": ["VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "VideoMAEConfig"],
NielsRogge's avatar
NielsRogge committed
353
    "models.vilt": ["VILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViltConfig", "ViltFeatureExtractor", "ViltProcessor"],
354
    "models.vision_encoder_decoder": ["VisionEncoderDecoderConfig"],
Suraj Patil's avatar
Suraj Patil committed
355
    "models.vision_text_dual_encoder": ["VisionTextDualEncoderConfig", "VisionTextDualEncoderProcessor"],
Gunjan Chhablani's avatar
Gunjan Chhablani committed
356
    "models.visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"],
357
    "models.vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig"],
NielsRogge's avatar
NielsRogge committed
358
    "models.vit_mae": ["VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMAEConfig"],
Sylvain Gugger's avatar
Sylvain Gugger committed
359
360
361
362
363
364
365
366
    "models.wav2vec2": [
        "WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2Config",
        "Wav2Vec2CTCTokenizer",
        "Wav2Vec2FeatureExtractor",
        "Wav2Vec2Processor",
        "Wav2Vec2Tokenizer",
    ],
367
368
369
370
    "models.wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
371
    "models.wav2vec2_phoneme": ["Wav2Vec2PhonemeCTCTokenizer"],
Sylvain Gugger's avatar
Sylvain Gugger committed
372
    "models.wav2vec2_with_lm": ["Wav2Vec2ProcessorWithLM"],
Patrick von Platen's avatar
Patrick von Platen committed
373
374
375
376
    "models.wavlm": [
        "WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "WavLMConfig",
    ],
NielsRogge's avatar
NielsRogge committed
377
378
379
380
381
382
383
    "models.x_clip": [
        "XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XCLIPConfig",
        "XCLIPProcessor",
        "XCLIPTextConfig",
        "XCLIPVisionConfig",
    ],
Suraj Patil's avatar
Suraj Patil committed
384
    "models.xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"],
385
386
387
    "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"],
388
    "models.xlm_roberta_xl": ["XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMRobertaXLConfig"],
389
    "models.xlnet": ["XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLNetConfig"],
NielsRogge's avatar
NielsRogge committed
390
    "models.yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig"],
novice's avatar
novice committed
391
    "models.yoso": ["YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP", "YosoConfig"],
392
    "onnx": [],
393
    "pipelines": [
394
        "AudioClassificationPipeline",
395
        "AutomaticSpeechRecognitionPipeline",
396
397
398
        "Conversation",
        "ConversationalPipeline",
        "CsvPipelineDataFormat",
399
        "DocumentQuestionAnsweringPipeline",
400
401
        "FeatureExtractionPipeline",
        "FillMaskPipeline",
402
        "ImageClassificationPipeline",
403
        "ImageSegmentationPipeline",
404
        "ImageToTextPipeline",
405
406
        "JsonPipelineDataFormat",
        "NerPipeline",
407
        "ObjectDetectionPipeline",
408
409
410
411
412
413
414
415
416
417
418
        "PipedPipelineDataFormat",
        "Pipeline",
        "PipelineDataFormat",
        "QuestionAnsweringPipeline",
        "SummarizationPipeline",
        "TableQuestionAnsweringPipeline",
        "Text2TextGenerationPipeline",
        "TextClassificationPipeline",
        "TextGenerationPipeline",
        "TokenClassificationPipeline",
        "TranslationPipeline",
419
        "VisualQuestionAnsweringPipeline",
420
        "ZeroShotClassificationPipeline",
421
        "ZeroShotImageClassificationPipeline",
422
423
        "pipeline",
    ],
424
    "processing_utils": ["ProcessorMixin"],
425
    "testing_utils": [],
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
    "tokenization_utils": ["PreTrainedTokenizer"],
    "tokenization_utils_base": [
        "AddedToken",
        "BatchEncoding",
        "CharSpan",
        "PreTrainedTokenizerBase",
        "SpecialTokensMixin",
        "TokenSpan",
    ],
    "trainer_callback": [
        "DefaultFlowCallback",
        "EarlyStoppingCallback",
        "PrinterCallback",
        "ProgressCallback",
        "TrainerCallback",
        "TrainerControl",
        "TrainerState",
    ],
444
    "trainer_utils": ["EvalPrediction", "IntervalStrategy", "SchedulerType", "enable_full_determinism", "set_seed"],
445
446
447
    "training_args": ["TrainingArguments"],
    "training_args_seq2seq": ["Seq2SeqTrainingArguments"],
    "training_args_tf": ["TFTrainingArguments"],
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
    "utils": [
        "CONFIG_NAME",
        "MODEL_CARD_NAME",
        "PYTORCH_PRETRAINED_BERT_CACHE",
        "PYTORCH_TRANSFORMERS_CACHE",
        "SPIECE_UNDERLINE",
        "TF2_WEIGHTS_NAME",
        "TF_WEIGHTS_NAME",
        "TRANSFORMERS_CACHE",
        "WEIGHTS_NAME",
        "TensorType",
        "add_end_docstrings",
        "add_start_docstrings",
        "is_apex_available",
        "is_datasets_available",
        "is_faiss_available",
        "is_flax_available",
        "is_phonemizer_available",
        "is_psutil_available",
        "is_py3nvml_available",
        "is_pyctcdecode_available",
        "is_scipy_available",
        "is_sentencepiece_available",
        "is_sklearn_available",
        "is_speech_available",
473
        "is_tensorflow_text_available",
474
475
476
477
478
479
480
481
        "is_tf_available",
        "is_timm_available",
        "is_tokenizers_available",
        "is_torch_available",
        "is_torch_tpu_available",
        "is_vision_available",
        "logging",
    ],
482
    "utils.bitsandbytes": [],
483
}
484

485
# sentencepiece-backed objects
486
487
488
489
490
491
492
493
494
495
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:
496
497
    _import_structure["models.albert"].append("AlbertTokenizer")
    _import_structure["models.barthez"].append("BarthezTokenizer")
498
    _import_structure["models.bartpho"].append("BartphoTokenizer")
499
    _import_structure["models.bert_generation"].append("BertGenerationTokenizer")
500
    _import_structure["models.big_bird"].append("BigBirdTokenizer")
501
    _import_structure["models.camembert"].append("CamembertTokenizer")
502
    _import_structure["models.cpm"].append("CpmTokenizer")
503
    _import_structure["models.deberta_v2"].append("DebertaV2Tokenizer")
504
    _import_structure["models.fnet"].append("FNetTokenizer")
505
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizer")
506
    _import_structure["models.m2m_100"].append("M2M100Tokenizer")
507
508
    _import_structure["models.marian"].append("MarianTokenizer")
    _import_structure["models.mbart"].append("MBartTokenizer")
Lysandre Debut's avatar
Lysandre Debut committed
509
    _import_structure["models.nllb"].append("NllbTokenizer")
510
    _import_structure["models.mbart50"].append("MBart50Tokenizer")
Ryokan RI's avatar
Ryokan RI committed
511
    _import_structure["models.mluke"].append("MLukeTokenizer")
512
513
    _import_structure["models.mt5"].append("MT5Tokenizer")
    _import_structure["models.pegasus"].append("PegasusTokenizer")
Gunjan Chhablani's avatar
Gunjan Chhablani committed
514
    _import_structure["models.plbart"].append("PLBartTokenizer")
515
    _import_structure["models.reformer"].append("ReformerTokenizer")
516
    _import_structure["models.rembert"].append("RemBertTokenizer")
Suraj Patil's avatar
Suraj Patil committed
517
    _import_structure["models.speech_to_text"].append("Speech2TextTokenizer")
518
    _import_structure["models.t5"].append("T5Tokenizer")
Suraj Patil's avatar
Suraj Patil committed
519
    _import_structure["models.xglm"].append("XGLMTokenizer")
520
521
522
523
    _import_structure["models.xlm_prophetnet"].append("XLMProphetNetTokenizer")
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizer")
    _import_structure["models.xlnet"].append("XLNetTokenizer")

524
# tokenizers-backed objects
525
526
527
528
529
530
531
532
533
534
535
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
536
537
538
539
    _import_structure["models.albert"].append("AlbertTokenizerFast")
    _import_structure["models.bart"].append("BartTokenizerFast")
    _import_structure["models.barthez"].append("BarthezTokenizerFast")
    _import_structure["models.bert"].append("BertTokenizerFast")
540
    _import_structure["models.big_bird"].append("BigBirdTokenizerFast")
541
    _import_structure["models.blenderbot"].append("BlenderbotTokenizerFast")
542
    _import_structure["models.blenderbot_small"].append("BlenderbotSmallTokenizerFast")
Younes Belkada's avatar
Younes Belkada committed
543
    _import_structure["models.bloom"].append("BloomTokenizerFast")
544
    _import_structure["models.camembert"].append("CamembertTokenizerFast")
545
    _import_structure["models.clip"].append("CLIPTokenizerFast")
rooa's avatar
rooa committed
546
    _import_structure["models.codegen"].append("CodeGenTokenizerFast")
547
    _import_structure["models.convbert"].append("ConvBertTokenizerFast")
548
    _import_structure["models.cpm"].append("CpmTokenizerFast")
549
    _import_structure["models.deberta"].append("DebertaTokenizerFast")
550
    _import_structure["models.deberta_v2"].append("DebertaV2TokenizerFast")
551
552
553
554
555
    _import_structure["models.distilbert"].append("DistilBertTokenizerFast")
    _import_structure["models.dpr"].extend(
        ["DPRContextEncoderTokenizerFast", "DPRQuestionEncoderTokenizerFast", "DPRReaderTokenizerFast"]
    )
    _import_structure["models.electra"].append("ElectraTokenizerFast")
556
    _import_structure["models.fnet"].append("FNetTokenizerFast")
557
558
    _import_structure["models.funnel"].append("FunnelTokenizerFast")
    _import_structure["models.gpt2"].append("GPT2TokenizerFast")
559
    _import_structure["models.gpt_neox"].append("GPTNeoXTokenizerFast")
560
561
    _import_structure["models.herbert"].append("HerbertTokenizerFast")
    _import_structure["models.layoutlm"].append("LayoutLMTokenizerFast")
562
    _import_structure["models.layoutlmv2"].append("LayoutLMv2TokenizerFast")
NielsRogge's avatar
NielsRogge committed
563
    _import_structure["models.layoutlmv3"].append("LayoutLMv3TokenizerFast")
564
    _import_structure["models.layoutxlm"].append("LayoutXLMTokenizerFast")
565
566
567
568
    _import_structure["models.led"].append("LEDTokenizerFast")
    _import_structure["models.longformer"].append("LongformerTokenizerFast")
    _import_structure["models.lxmert"].append("LxmertTokenizerFast")
    _import_structure["models.mbart"].append("MBartTokenizerFast")
569
    _import_structure["models.mbart50"].append("MBart50TokenizerFast")
570
571
572
    _import_structure["models.mobilebert"].append("MobileBertTokenizerFast")
    _import_structure["models.mpnet"].append("MPNetTokenizerFast")
    _import_structure["models.mt5"].append("MT5TokenizerFast")
StevenTang1998's avatar
StevenTang1998 committed
573
    _import_structure["models.mvp"].append("MvpTokenizerFast")
Lysandre Debut's avatar
Lysandre Debut committed
574
    _import_structure["models.nllb"].append("NllbTokenizerFast")
575
576
    _import_structure["models.openai"].append("OpenAIGPTTokenizerFast")
    _import_structure["models.pegasus"].append("PegasusTokenizerFast")
577
    _import_structure["models.realm"].append("RealmTokenizerFast")
578
    _import_structure["models.reformer"].append("ReformerTokenizerFast")
579
    _import_structure["models.rembert"].append("RemBertTokenizerFast")
580
581
    _import_structure["models.retribert"].append("RetriBertTokenizerFast")
    _import_structure["models.roberta"].append("RobertaTokenizerFast")
582
    _import_structure["models.roformer"].append("RoFormerTokenizerFast")
Ori Ram's avatar
Ori Ram committed
583
    _import_structure["models.splinter"].append("SplinterTokenizerFast")
584
585
    _import_structure["models.squeezebert"].append("SqueezeBertTokenizerFast")
    _import_structure["models.t5"].append("T5TokenizerFast")
586
    _import_structure["models.xglm"].append("XGLMTokenizerFast")
587
588
589
    _import_structure["models.xlm_roberta"].append("XLMRobertaTokenizerFast")
    _import_structure["models.xlnet"].append("XLNetTokenizerFast")
    _import_structure["tokenization_utils_fast"] = ["PreTrainedTokenizerFast"]
590

Aymeric Augustin's avatar
Aymeric Augustin committed
591

592
593
594
595
try:
    if not (is_sentencepiece_available() and is_tokenizers_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
596
597
598
599
600
    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("_")
    ]
601
602
else:
    _import_structure["convert_slow_tokenizer"] = ["SLOW_TO_FAST_CONVERTERS", "convert_slow_tokenizer"]
603

604
# Speech-specific objects
605
606
607
608
try:
    if not is_speech_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
609
610
611
612
613
    from .utils import dummy_speech_objects

    _import_structure["utils.dummy_speech_objects"] = [
        name for name in dir(dummy_speech_objects) if not name.startswith("_")
    ]
614
else:
Chan Woo Kim's avatar
Chan Woo Kim committed
615
    _import_structure["models.mctct"].append("MCTCTFeatureExtractor")
616
617
    _import_structure["models.speech_to_text"].append("Speech2TextFeatureExtractor")

618
619
620
621
622
623
624
625
626
627
628
629
630
# 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")

631
632
633
634
try:
    if not (is_sentencepiece_available() and is_speech_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
635
636
637
638
639
    from .utils import dummy_sentencepiece_and_speech_objects

    _import_structure["utils.dummy_sentencepiece_and_speech_objects"] = [
        name for name in dir(dummy_sentencepiece_and_speech_objects) if not name.startswith("_")
    ]
640
641
else:
    _import_structure["models.speech_to_text"].append("Speech2TextProcessor")
642

643
# Vision-specific objects
644
645
646
647
648
649
650
651
652
653
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:
654
    _import_structure["image_utils"] = ["ImageFeatureExtractionMixin"]
NielsRogge's avatar
NielsRogge committed
655
    _import_structure["models.beit"].append("BeitFeatureExtractor")
Suraj Patil's avatar
Suraj Patil committed
656
    _import_structure["models.clip"].append("CLIPFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
657
    _import_structure["models.convnext"].append("ConvNextFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
658
    _import_structure["models.deit"].append("DeiTFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
659
    _import_structure["models.detr"].append("DetrFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
660
    _import_structure["models.donut"].append("DonutFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
661
    _import_structure["models.dpt"].append("DPTFeatureExtractor")
662
    _import_structure["models.flava"].extend(["FlavaFeatureExtractor", "FlavaProcessor"])
NielsRogge's avatar
NielsRogge committed
663
    _import_structure["models.glpn"].append("GLPNFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
664
    _import_structure["models.imagegpt"].append("ImageGPTFeatureExtractor")
665
    _import_structure["models.layoutlmv2"].append("LayoutLMv2FeatureExtractor")
NielsRogge's avatar
NielsRogge committed
666
    _import_structure["models.layoutlmv3"].append("LayoutLMv3FeatureExtractor")
667
    _import_structure["models.levit"].append("LevitFeatureExtractor")
668
    _import_structure["models.maskformer"].append("MaskFormerFeatureExtractor")
669
    _import_structure["models.mobilevit"].append("MobileViTFeatureExtractor")
670
    _import_structure["models.owlvit"].append("OwlViTFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
671
    _import_structure["models.perceiver"].append("PerceiverFeatureExtractor")
Tanay Mehta's avatar
Tanay Mehta committed
672
    _import_structure["models.poolformer"].append("PoolFormerFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
673
    _import_structure["models.segformer"].append("SegformerFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
674
    _import_structure["models.videomae"].append("VideoMAEFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
675
676
    _import_structure["models.vilt"].append("ViltFeatureExtractor")
    _import_structure["models.vilt"].append("ViltProcessor")
677
    _import_structure["models.vit"].append("ViTFeatureExtractor")
NielsRogge's avatar
NielsRogge committed
678
    _import_structure["models.yolos"].append("YolosFeatureExtractor")
679

NielsRogge's avatar
NielsRogge committed
680
# Timm-backed objects
681
682
683
684
685
686
687
688
689
690
try:
    if not (is_timm_available() and is_vision_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_timm_objects

    _import_structure["utils.dummy_timm_objects"] = [
        name for name in dir(dummy_timm_objects) if not name.startswith("_")
    ]
else:
NielsRogge's avatar
NielsRogge committed
691
692
693
694
695
696
    _import_structure["models.detr"].extend(
        [
            "DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DetrForObjectDetection",
            "DetrForSegmentation",
            "DetrModel",
697
            "DetrPreTrainedModel",
NielsRogge's avatar
NielsRogge committed
698
699
700
        ]
    )

701
702
703
704
705
try:
    if not is_scatter_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from .utils import dummy_scatter_objects
NielsRogge's avatar
NielsRogge committed
706

707
708
709
710
    _import_structure["utils.dummy_scatter_objects"] = [
        name for name in dir(dummy_scatter_objects) if not name.startswith("_")
    ]
else:
711
712
713
714
715
716
717
718
719
720
721
722
    _import_structure["models.tapas"].extend(
        [
            "TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TapasForMaskedLM",
            "TapasForQuestionAnswering",
            "TapasForSequenceClassification",
            "TapasModel",
            "TapasPreTrainedModel",
            "load_tf_weights_in_tapas",
        ]
    )

723

724
# PyTorch-backed objects
725
726
727
728
729
730
731
732
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:
733
    _import_structure["activations"] = []
734
735
736
737
738
739
740
741
742
743
744
745
746
    _import_structure["benchmark.benchmark"] = ["PyTorchBenchmark"]
    _import_structure["benchmark.benchmark_args"] = ["PyTorchBenchmarkArguments"]
    _import_structure["data.datasets"] = [
        "GlueDataset",
        "GlueDataTrainingArguments",
        "LineByLineTextDataset",
        "LineByLineWithRefDataset",
        "LineByLineWithSOPTextDataset",
        "SquadDataset",
        "SquadDataTrainingArguments",
        "TextDataset",
        "TextDatasetForNextSentencePrediction",
    ]
747
    _import_structure["deepspeed"] = []
748
749
750
    _import_structure["generation_beam_constraints"] = [
        "Constraint",
        "ConstraintListState",
751
        "DisjunctiveConstraint",
752
753
754
        "PhrasalConstraint",
    ]
    _import_structure["generation_beam_search"] = ["BeamScorer", "BeamSearchScorer", "ConstrainedBeamSearchScorer"]
755
    _import_structure["generation_logits_process"] = [
756
757
        "ForcedBOSTokenLogitsProcessor",
        "ForcedEOSTokenLogitsProcessor",
758
        "HammingDiversityLogitsProcessor",
759
        "InfNanRemoveLogitsProcessor",
760
761
762
763
764
765
766
767
768
769
770
        "LogitsProcessor",
        "LogitsProcessorList",
        "LogitsWarper",
        "MinLengthLogitsProcessor",
        "NoBadWordsLogitsProcessor",
        "NoRepeatNGramLogitsProcessor",
        "PrefixConstrainedLogitsProcessor",
        "RepetitionPenaltyLogitsProcessor",
        "TemperatureLogitsWarper",
        "TopKLogitsWarper",
        "TopPLogitsWarper",
771
        "TypicalLogitsWarper",
772
    ]
773
774
775
    _import_structure["generation_stopping_criteria"] = [
        "MaxLengthCriteria",
        "MaxTimeCriteria",
Sylvain Gugger's avatar
Sylvain Gugger committed
776
777
        "StoppingCriteria",
        "StoppingCriteriaList",
778
    ]
779
    _import_structure["generation_utils"] = ["top_k_top_p_filtering"]
780
    _import_structure["modeling_outputs"] = []
781
    _import_structure["modeling_utils"] = ["PreTrainedModel"]
Suraj Patil's avatar
Suraj Patil committed
782

NielsRogge's avatar
NielsRogge committed
783
    # PyTorch models structure
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
    _import_structure["models.albert"].extend(
        [
            "ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AlbertForMaskedLM",
            "AlbertForMultipleChoice",
            "AlbertForPreTraining",
            "AlbertForQuestionAnswering",
            "AlbertForSequenceClassification",
            "AlbertForTokenClassification",
            "AlbertModel",
            "AlbertPreTrainedModel",
            "load_tf_weights_in_albert",
        ]
    )
    _import_structure["models.auto"].extend(
        [
800
            "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING",
801
            "MODEL_FOR_AUDIO_XVECTOR_MAPPING",
NielsRogge's avatar
NielsRogge committed
802
            "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING",
803
            "MODEL_FOR_CAUSAL_LM_MAPPING",
804
            "MODEL_FOR_CTC_MAPPING",
805
            "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
806
            "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
807
            "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING",
808
            "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
809
            "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
810
811
812
            "MODEL_FOR_MASKED_LM_MAPPING",
            "MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
NielsRogge's avatar
NielsRogge committed
813
            "MODEL_FOR_OBJECT_DETECTION_MAPPING",
814
815
            "MODEL_FOR_PRETRAINING_MAPPING",
            "MODEL_FOR_QUESTION_ANSWERING_MAPPING",
816
            "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
817
818
            "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
819
            "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
820
821
            "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
            "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
NielsRogge's avatar
NielsRogge committed
822
            "MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING",
823
            "MODEL_FOR_VISION_2_SEQ_MAPPING",
824
            "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING",
825
826
827
            "MODEL_MAPPING",
            "MODEL_WITH_LM_HEAD_MAPPING",
            "AutoModel",
828
            "AutoModelForAudioClassification",
829
830
            "AutoModelForAudioFrameClassification",
            "AutoModelForAudioXVector",
831
            "AutoModelForCausalLM",
832
            "AutoModelForCTC",
833
            "AutoModelForDocumentQuestionAnswering",
834
            "AutoModelForImageClassification",
835
            "AutoModelForImageSegmentation",
836
            "AutoModelForInstanceSegmentation",
NielsRogge's avatar
NielsRogge committed
837
            "AutoModelForMaskedImageModeling",
838
839
840
            "AutoModelForMaskedLM",
            "AutoModelForMultipleChoice",
            "AutoModelForNextSentencePrediction",
841
            "AutoModelForObjectDetection",
842
843
            "AutoModelForPreTraining",
            "AutoModelForQuestionAnswering",
844
            "AutoModelForSemanticSegmentation",
845
846
            "AutoModelForSeq2SeqLM",
            "AutoModelForSequenceClassification",
847
            "AutoModelForSpeechSeq2Seq",
848
849
            "AutoModelForTableQuestionAnswering",
            "AutoModelForTokenClassification",
NielsRogge's avatar
NielsRogge committed
850
            "AutoModelForVideoClassification",
851
            "AutoModelForVision2Seq",
852
            "AutoModelForVisualQuestionAnswering",
853
854
855
856
857
858
            "AutoModelWithLMHead",
        ]
    )
    _import_structure["models.bart"].extend(
        [
            "BART_PRETRAINED_MODEL_ARCHIVE_LIST",
859
            "BartForCausalLM",
860
861
862
863
864
865
866
867
            "BartForConditionalGeneration",
            "BartForQuestionAnswering",
            "BartForSequenceClassification",
            "BartModel",
            "BartPretrainedModel",
            "PretrainedBartModel",
        ]
    )
StevenTang1998's avatar
StevenTang1998 committed
868
869
870
871
872
873
874
875
876
877
878
    _import_structure["models.mvp"].extend(
        [
            "MVP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MvpForCausalLM",
            "MvpForConditionalGeneration",
            "MvpForQuestionAnswering",
            "MvpForSequenceClassification",
            "MvpModel",
            "MvpPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
879
880
881
882
883
    _import_structure["models.beit"].extend(
        [
            "BEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BeitForImageClassification",
            "BeitForMaskedImageModeling",
884
            "BeitForSemanticSegmentation",
NielsRogge's avatar
NielsRogge committed
885
886
887
888
            "BeitModel",
            "BeitPreTrainedModel",
        ]
    )
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
    _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",
910
            "BertGenerationPreTrainedModel",
911
912
913
            "load_tf_weights_in_bert_generation",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
    _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
930
931
932
933
934
935
936
937
    _import_structure["models.bigbird_pegasus"].extend(
        [
            "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BigBirdPegasusForCausalLM",
            "BigBirdPegasusForConditionalGeneration",
            "BigBirdPegasusForQuestionAnswering",
            "BigBirdPegasusForSequenceClassification",
            "BigBirdPegasusModel",
938
            "BigBirdPegasusPreTrainedModel",
Vasudev Gupta's avatar
Vasudev Gupta committed
939
940
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
941
942
943
944
945
946
    _import_structure["models.bloom"].extend(
        [
            "BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "BloomForCausalLM",
            "BloomModel",
            "BloomPreTrainedModel",
947
948
            "BloomForSequenceClassification",
            "BloomForTokenClassification",
Younes Belkada's avatar
Younes Belkada committed
949
950
        ]
    )
951
952
953
    _import_structure["models.blenderbot"].extend(
        [
            "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
954
            "BlenderbotForCausalLM",
955
956
            "BlenderbotForConditionalGeneration",
            "BlenderbotModel",
957
            "BlenderbotPreTrainedModel",
958
959
960
961
962
        ]
    )
    _import_structure["models.blenderbot_small"].extend(
        [
            "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
963
            "BlenderbotSmallForCausalLM",
964
965
            "BlenderbotSmallForConditionalGeneration",
            "BlenderbotSmallModel",
966
            "BlenderbotSmallPreTrainedModel",
967
968
969
970
971
972
973
974
975
976
977
978
979
980
        ]
    )
    _import_structure["models.camembert"].extend(
        [
            "CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CamembertForCausalLM",
            "CamembertForMaskedLM",
            "CamembertForMultipleChoice",
            "CamembertForQuestionAnswering",
            "CamembertForSequenceClassification",
            "CamembertForTokenClassification",
            "CamembertModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
981
982
983
984
985
986
987
988
989
990
991
992
993
    _import_structure["models.canine"].extend(
        [
            "CANINE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CanineForMultipleChoice",
            "CanineForQuestionAnswering",
            "CanineForSequenceClassification",
            "CanineForTokenClassification",
            "CanineLayer",
            "CanineModel",
            "CaninePreTrainedModel",
            "load_tf_weights_in_canine",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
994
995
996
997
998
999
1000
1001
1002
    _import_structure["models.clip"].extend(
        [
            "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CLIPModel",
            "CLIPPreTrainedModel",
            "CLIPTextModel",
            "CLIPVisionModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1003
1004
1005
1006
1007
1008
1009
1010
1011
    _import_structure["models.x_clip"].extend(
        [
            "XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XCLIPModel",
            "XCLIPPreTrainedModel",
            "XCLIPTextModel",
            "XCLIPVisionModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
    _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
1026
1027
1028
1029
1030
1031
1032
1033
    _import_structure["models.convnext"].extend(
        [
            "CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ConvNextForImageClassification",
            "ConvNextModel",
            "ConvNextPreTrainedModel",
        ]
    )
1034
1035
1036
1037
1038
1039
1040
1041
1042
    _import_structure["models.ctrl"].extend(
        [
            "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CTRLForSequenceClassification",
            "CTRLLMHeadModel",
            "CTRLModel",
            "CTRLPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1043
1044
1045
1046
1047
1048
1049
1050
    _import_structure["models.cvt"].extend(
        [
            "CVT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CvtForImageClassification",
            "CvtModel",
            "CvtPreTrainedModel",
        ]
    )
1051
1052
1053
1054
    _import_structure["models.data2vec"].extend(
        [
            "DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
1055
            "DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST",
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
            "Data2VecAudioForAudioFrameClassification",
            "Data2VecAudioForCTC",
            "Data2VecAudioForSequenceClassification",
            "Data2VecAudioForXVector",
            "Data2VecAudioModel",
            "Data2VecAudioPreTrainedModel",
            "Data2VecTextForCausalLM",
            "Data2VecTextForMaskedLM",
            "Data2VecTextForMultipleChoice",
            "Data2VecTextForQuestionAnswering",
            "Data2VecTextForSequenceClassification",
            "Data2VecTextForTokenClassification",
            "Data2VecTextModel",
            "Data2VecTextPreTrainedModel",
1070
1071
1072
1073
            "Data2VecVisionForImageClassification",
            "Data2VecVisionForSemanticSegmentation",
            "Data2VecVisionModel",
            "Data2VecVisionPreTrainedModel",
1074
1075
        ]
    )
1076
1077
1078
    _import_structure["models.deberta"].extend(
        [
            "DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1079
1080
            "DebertaForMaskedLM",
            "DebertaForQuestionAnswering",
1081
            "DebertaForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1082
            "DebertaForTokenClassification",
1083
1084
1085
1086
            "DebertaModel",
            "DebertaPreTrainedModel",
        ]
    )
1087
1088
1089
    _import_structure["models.deberta_v2"].extend(
        [
            "DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
Sylvain Gugger's avatar
Sylvain Gugger committed
1090
            "DebertaV2ForMaskedLM",
1091
            "DebertaV2ForMultipleChoice",
Sylvain Gugger's avatar
Sylvain Gugger committed
1092
            "DebertaV2ForQuestionAnswering",
1093
            "DebertaV2ForSequenceClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1094
            "DebertaV2ForTokenClassification",
1095
1096
1097
1098
            "DebertaV2Model",
            "DebertaV2PreTrainedModel",
        ]
    )
1099
1100
1101
1102
1103
1104
1105
1106
1107
    _import_structure["models.decision_transformer"].extend(
        [
            "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DecisionTransformerGPT2Model",
            "DecisionTransformerGPT2PreTrainedModel",
            "DecisionTransformerModel",
            "DecisionTransformerPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1108
1109
1110
1111
1112
    _import_structure["models.deit"].extend(
        [
            "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DeiTForImageClassification",
            "DeiTForImageClassificationWithTeacher",
NielsRogge's avatar
NielsRogge committed
1113
            "DeiTForMaskedImageModeling",
NielsRogge's avatar
NielsRogge committed
1114
1115
1116
1117
            "DeiTModel",
            "DeiTPreTrainedModel",
        ]
    )
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
    _import_structure["models.distilbert"].extend(
        [
            "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DistilBertForMaskedLM",
            "DistilBertForMultipleChoice",
            "DistilBertForQuestionAnswering",
            "DistilBertForSequenceClassification",
            "DistilBertForTokenClassification",
            "DistilBertModel",
            "DistilBertPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1130
1131
1132
1133
1134
1135
1136
    _import_structure["models.donut"].extend(
        [
            "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DonutSwinModel",
            "DonutSwinPreTrainedModel",
        ]
    )
1137
1138
1139
1140
1141
1142
1143
    _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",
1144
            "DPRPreTrainedModel",
1145
1146
1147
1148
1149
1150
            "DPRPretrainedQuestionEncoder",
            "DPRPretrainedReader",
            "DPRQuestionEncoder",
            "DPRReader",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1151
1152
1153
1154
1155
1156
1157
1158
1159
    _import_structure["models.dpt"].extend(
        [
            "DPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "DPTForDepthEstimation",
            "DPTForSemanticSegmentation",
            "DPTModel",
            "DPTPreTrainedModel",
        ]
    )
1160
1161
1162
    _import_structure["models.electra"].extend(
        [
            "ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
1163
            "ElectraForCausalLM",
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
            "ElectraForMaskedLM",
            "ElectraForMultipleChoice",
            "ElectraForPreTraining",
            "ElectraForQuestionAnswering",
            "ElectraForSequenceClassification",
            "ElectraForTokenClassification",
            "ElectraModel",
            "ElectraPreTrainedModel",
            "load_tf_weights_in_electra",
        ]
    )
    _import_structure["models.encoder_decoder"].append("EncoderDecoderModel")
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
    _import_structure["models.ernie"].extend(
        [
            "ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ErnieForCausalLM",
            "ErnieForMaskedLM",
            "ErnieForMultipleChoice",
            "ErnieForNextSentencePrediction",
            "ErnieForPreTraining",
            "ErnieForQuestionAnswering",
            "ErnieForSequenceClassification",
            "ErnieForTokenClassification",
            "ErnieModel",
            "ErniePreTrainedModel",
        ]
    )
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
    _import_structure["models.flaubert"].extend(
        [
            "FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlaubertForMultipleChoice",
            "FlaubertForQuestionAnswering",
            "FlaubertForQuestionAnsweringSimple",
            "FlaubertForSequenceClassification",
            "FlaubertForTokenClassification",
            "FlaubertModel",
            "FlaubertWithLMHeadModel",
        ]
    )
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
    _import_structure["models.flava"].extend(
        [
            "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FlavaForPreTraining",
            "FlavaImageCodebook",
            "FlavaImageModel",
            "FlavaModel",
            "FlavaMultimodalModel",
            "FlavaPreTrainedModel",
            "FlavaTextModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
    _import_structure["models.fnet"].extend(
        [
            "FNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "FNetForMaskedLM",
            "FNetForMultipleChoice",
            "FNetForNextSentencePrediction",
            "FNetForPreTraining",
            "FNetForQuestionAnswering",
            "FNetForSequenceClassification",
            "FNetForTokenClassification",
            "FNetLayer",
            "FNetModel",
            "FNetPreTrainedModel",
        ]
    )
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
    _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",
1242
            "FunnelPreTrainedModel",
1243
1244
1245
            "load_tf_weights_in_funnel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1246
1247
1248
1249
1250
1251
1252
1253
    _import_structure["models.glpn"].extend(
        [
            "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GLPNForDepthEstimation",
            "GLPNModel",
            "GLPNPreTrainedModel",
        ]
    )
1254
1255
1256
1257
1258
    _import_structure["models.gpt2"].extend(
        [
            "GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPT2DoubleHeadsModel",
            "GPT2ForSequenceClassification",
1259
            "GPT2ForTokenClassification",
1260
1261
1262
1263
1264
1265
            "GPT2LMHeadModel",
            "GPT2Model",
            "GPT2PreTrainedModel",
            "load_tf_weights_in_gpt2",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1266
1267
1268
1269
    _import_structure["models.gpt_neo"].extend(
        [
            "GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoForCausalLM",
1270
            "GPTNeoForSequenceClassification",
Suraj Patil's avatar
Suraj Patil committed
1271
1272
1273
1274
1275
            "GPTNeoModel",
            "GPTNeoPreTrainedModel",
            "load_tf_weights_in_gpt_neo",
        ]
    )
1276
1277
1278
1279
1280
1281
1282
1283
1284
    _import_structure["models.gpt_neox"].extend(
        [
            "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTNeoXForCausalLM",
            "GPTNeoXLayer",
            "GPTNeoXModel",
            "GPTNeoXPreTrainedModel",
        ]
    )
Stella Biderman's avatar
Stella Biderman committed
1285
1286
1287
1288
    _import_structure["models.gptj"].extend(
        [
            "GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GPTJForCausalLM",
1289
            "GPTJForQuestionAnswering",
Stella Biderman's avatar
Stella Biderman committed
1290
1291
1292
1293
1294
            "GPTJForSequenceClassification",
            "GPTJModel",
            "GPTJPreTrainedModel",
        ]
    )
1295
1296
1297
1298
1299
1300
1301
1302
1303
    _import_structure["models.groupvit"].extend(
        [
            "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "GroupViTModel",
            "GroupViTPreTrainedModel",
            "GroupViTTextModel",
            "GroupViTVisionModel",
        ]
    )
rooa's avatar
rooa committed
1304
1305
1306
1307
1308
1309
1310
1311
    _import_structure["models.codegen"].extend(
        [
            "CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "CodeGenForCausalLM",
            "CodeGenModel",
            "CodeGenPreTrainedModel",
        ]
    )
Patrick von Platen's avatar
Patrick von Platen committed
1312
1313
1314
1315
    _import_structure["models.hubert"].extend(
        [
            "HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "HubertForCTC",
1316
            "HubertForSequenceClassification",
Patrick von Platen's avatar
Patrick von Platen committed
1317
1318
1319
1320
            "HubertModel",
            "HubertPreTrainedModel",
        ]
    )
Sehoon Kim's avatar
Sehoon Kim committed
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
    _import_structure["models.ibert"].extend(
        [
            "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "IBertForMaskedLM",
            "IBertForMultipleChoice",
            "IBertForQuestionAnswering",
            "IBertForSequenceClassification",
            "IBertForTokenClassification",
            "IBertModel",
            "IBertPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1333
1334
1335
    _import_structure["models.imagegpt"].extend(
        [
            "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
NielsRogge's avatar
NielsRogge committed
1336
            "ImageGPTForCausalImageModeling",
NielsRogge's avatar
NielsRogge committed
1337
1338
1339
1340
1341
1342
            "ImageGPTForImageClassification",
            "ImageGPTModel",
            "ImageGPTPreTrainedModel",
            "load_tf_weights_in_imagegpt",
        ]
    )
1343
1344
1345
1346
    _import_structure["models.layoutlm"].extend(
        [
            "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMForMaskedLM",
NielsRogge's avatar
NielsRogge committed
1347
            "LayoutLMForSequenceClassification",
1348
            "LayoutLMForTokenClassification",
1349
            "LayoutLMForQuestionAnswering",
1350
            "LayoutLMModel",
1351
            "LayoutLMPreTrainedModel",
1352
1353
        ]
    )
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
    _import_structure["models.layoutlmv2"].extend(
        [
            "LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv2ForQuestionAnswering",
            "LayoutLMv2ForSequenceClassification",
            "LayoutLMv2ForTokenClassification",
            "LayoutLMv2Model",
            "LayoutLMv2PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
    _import_structure["models.layoutlmv3"].extend(
        [
            "LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LayoutLMv3ForQuestionAnswering",
            "LayoutLMv3ForSequenceClassification",
            "LayoutLMv3ForTokenClassification",
            "LayoutLMv3Model",
            "LayoutLMv3PreTrainedModel",
        ]
    )
1374
1375
1376
1377
1378
1379
1380
    _import_structure["models.led"].extend(
        [
            "LED_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LEDForConditionalGeneration",
            "LEDForQuestionAnswering",
            "LEDForSequenceClassification",
            "LEDModel",
1381
            "LEDPreTrainedModel",
1382
1383
        ]
    )
1384
1385
1386
1387
1388
1389
1390
1391
1392
    _import_structure["models.levit"].extend(
        [
            "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LevitForImageClassification",
            "LevitForImageClassificationWithTeacher",
            "LevitModel",
            "LevitPreTrainedModel",
        ]
    )
1393
1394
1395
1396
1397
1398
1399
1400
1401
    _import_structure["models.longformer"].extend(
        [
            "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongformerForMaskedLM",
            "LongformerForMultipleChoice",
            "LongformerForQuestionAnswering",
            "LongformerForSequenceClassification",
            "LongformerForTokenClassification",
            "LongformerModel",
1402
            "LongformerPreTrainedModel",
1403
1404
1405
            "LongformerSelfAttention",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
1406
1407
1408
1409
1410
1411
1412
1413
1414
    _import_structure["models.longt5"].extend(
        [
            "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LongT5EncoderModel",
            "LongT5ForConditionalGeneration",
            "LongT5Model",
            "LongT5PreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1415
1416
1417
1418
1419
1420
    _import_structure["models.luke"].extend(
        [
            "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "LukeForEntityClassification",
            "LukeForEntityPairClassification",
            "LukeForEntitySpanClassification",
1421
1422
1423
1424
            "LukeForMultipleChoice",
            "LukeForQuestionAnswering",
            "LukeForSequenceClassification",
            "LukeForTokenClassification",
Ryokan RI's avatar
Ryokan RI committed
1425
            "LukeForMaskedLM",
NielsRogge's avatar
NielsRogge committed
1426
1427
1428
1429
            "LukeModel",
            "LukePreTrainedModel",
        ]
    )
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
    _import_structure["models.lxmert"].extend(
        [
            "LxmertEncoder",
            "LxmertForPreTraining",
            "LxmertForQuestionAnswering",
            "LxmertModel",
            "LxmertPreTrainedModel",
            "LxmertVisualFeatureEncoder",
            "LxmertXLayer",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1441
1442
1443
1444
1445
    _import_structure["models.m2m_100"].extend(
        [
            "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
            "M2M100ForConditionalGeneration",
            "M2M100Model",
1446
            "M2M100PreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
1447
1448
1449
        ]
    )
    _import_structure["models.marian"].extend(["MarianForCausalLM", "MarianModel", "MarianMTModel"])
1450
1451
1452
1453
1454
1455
1456
1457
    _import_structure["models.maskformer"].extend(
        [
            "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MaskFormerForInstanceSegmentation",
            "MaskFormerModel",
            "MaskFormerPreTrainedModel",
        ]
    )
1458
1459
    _import_structure["models.mbart"].extend(
        [
1460
            "MBartForCausalLM",
1461
1462
1463
1464
            "MBartForConditionalGeneration",
            "MBartForQuestionAnswering",
            "MBartForSequenceClassification",
            "MBartModel",
1465
            "MBartPreTrainedModel",
1466
1467
        ]
    )
Chan Woo Kim's avatar
Chan Woo Kim committed
1468
1469
1470
1471
1472
1473
1474
1475
    _import_structure["models.mctct"].extend(
        [
            "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MCTCTForCTC",
            "MCTCTModel",
            "MCTCTPreTrainedModel",
        ]
    )
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
    _import_structure["models.megatron_bert"].extend(
        [
            "MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MegatronBertForCausalLM",
            "MegatronBertForMaskedLM",
            "MegatronBertForMultipleChoice",
            "MegatronBertForNextSentencePrediction",
            "MegatronBertForPreTraining",
            "MegatronBertForQuestionAnswering",
            "MegatronBertForSequenceClassification",
            "MegatronBertForTokenClassification",
            "MegatronBertModel",
1488
            "MegatronBertPreTrainedModel",
1489
1490
        ]
    )
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
    _import_structure["models.mmbt"].extend(["MMBTForClassification", "MMBTModel", "ModalEmbeddings"])
    _import_structure["models.mobilebert"].extend(
        [
            "MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileBertForMaskedLM",
            "MobileBertForMultipleChoice",
            "MobileBertForNextSentencePrediction",
            "MobileBertForPreTraining",
            "MobileBertForQuestionAnswering",
            "MobileBertForSequenceClassification",
            "MobileBertForTokenClassification",
            "MobileBertLayer",
            "MobileBertModel",
            "MobileBertPreTrainedModel",
            "load_tf_weights_in_mobilebert",
        ]
    )
1508
1509
1510
1511
1512
1513
1514
1515
1516
    _import_structure["models.mobilevit"].extend(
        [
            "MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MobileViTForImageClassification",
            "MobileViTForSemanticSegmentation",
            "MobileViTModel",
            "MobileViTPreTrainedModel",
        ]
    )
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
    _import_structure["models.mpnet"].extend(
        [
            "MPNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "MPNetForMaskedLM",
            "MPNetForMultipleChoice",
            "MPNetForQuestionAnswering",
            "MPNetForSequenceClassification",
            "MPNetForTokenClassification",
            "MPNetLayer",
            "MPNetModel",
            "MPNetPreTrainedModel",
        ]
    )
    _import_structure["models.mt5"].extend(["MT5EncoderModel", "MT5ForConditionalGeneration", "MT5Model"])
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
    _import_structure["models.nezha"].extend(
        [
            "NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NezhaForMaskedLM",
            "NezhaForPreTraining",
            "NezhaForNextSentencePrediction",
            "NezhaForMultipleChoice",
            "NezhaForQuestionAnswering",
            "NezhaForSequenceClassification",
            "NezhaForTokenClassification",
            "NezhaModel",
            "NezhaPreTrainedModel",
        ]
    )
novice's avatar
novice committed
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
    _import_structure["models.nystromformer"].extend(
        [
            "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "NystromformerForMaskedLM",
            "NystromformerForMultipleChoice",
            "NystromformerForQuestionAnswering",
            "NystromformerForSequenceClassification",
            "NystromformerForTokenClassification",
            "NystromformerLayer",
            "NystromformerModel",
            "NystromformerPreTrainedModel",
        ]
    )
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
    _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
1569
1570
1571
1572
1573
1574
    _import_structure["models.opt"].extend(
        [
            "OPT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OPTForCausalLM",
            "OPTModel",
            "OPTPreTrainedModel",
1575
            "OPTForSequenceClassification",
Younes Belkada's avatar
Younes Belkada committed
1576
1577
        ]
    )
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
    _import_structure["models.owlvit"].extend(
        [
            "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "OwlViTModel",
            "OwlViTPreTrainedModel",
            "OwlViTTextModel",
            "OwlViTVisionModel",
            "OwlViTForObjectDetection",
        ]
    )
1588
    _import_structure["models.pegasus"].extend(
1589
        ["PegasusForCausalLM", "PegasusForConditionalGeneration", "PegasusModel", "PegasusPreTrainedModel"]
1590
    )
Jason Phang's avatar
Jason Phang committed
1591
1592
1593
1594
1595
1596
1597
1598
    _import_structure["models.pegasus_x"].extend(
        [
            "PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PegasusXForConditionalGeneration",
            "PegasusXModel",
            "PegasusXPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
    _import_structure["models.perceiver"].extend(
        [
            "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PerceiverForImageClassificationConvProcessing",
            "PerceiverForImageClassificationFourier",
            "PerceiverForImageClassificationLearned",
            "PerceiverForMaskedLM",
            "PerceiverForMultimodalAutoencoding",
            "PerceiverForOpticalFlow",
            "PerceiverForSequenceClassification",
            "PerceiverLayer",
            "PerceiverModel",
            "PerceiverPreTrainedModel",
        ]
    )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
    _import_structure["models.plbart"].extend(
        [
            "PLBART_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PLBartForCausalLM",
            "PLBartForConditionalGeneration",
            "PLBartForSequenceClassification",
            "PLBartModel",
            "PLBartPreTrainedModel",
        ]
    )
Tanay Mehta's avatar
Tanay Mehta committed
1624
1625
1626
1627
1628
1629
1630
1631
    _import_structure["models.poolformer"].extend(
        [
            "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "PoolFormerForImageClassification",
            "PoolFormerModel",
            "PoolFormerPreTrainedModel",
        ]
    )
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
    _import_structure["models.prophetnet"].extend(
        [
            "PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ProphetNetDecoder",
            "ProphetNetEncoder",
            "ProphetNetForCausalLM",
            "ProphetNetForConditionalGeneration",
            "ProphetNetModel",
            "ProphetNetPreTrainedModel",
        ]
    )
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
    _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",
        ]
    )
1659
1660
1661
    _import_structure["models.rag"].extend(
        ["RagModel", "RagPreTrainedModel", "RagSequenceForGeneration", "RagTokenForGeneration"]
    )
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
    _import_structure["models.realm"].extend(
        [
            "REALM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RealmEmbedder",
            "RealmForOpenQA",
            "RealmKnowledgeAugEncoder",
            "RealmPreTrainedModel",
            "RealmReader",
            "RealmRetriever",
            "RealmScorer",
            "load_tf_weights_in_realm",
        ]
    )
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
    _import_structure["models.reformer"].extend(
        [
            "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ReformerAttention",
            "ReformerForMaskedLM",
            "ReformerForQuestionAnswering",
            "ReformerForSequenceClassification",
            "ReformerLayer",
            "ReformerModel",
            "ReformerModelWithLMHead",
1685
            "ReformerPreTrainedModel",
1686
1687
        ]
    )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
1688
1689
1690
1691
1692
1693
1694
1695
    _import_structure["models.regnet"].extend(
        [
            "REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RegNetForImageClassification",
            "RegNetModel",
            "RegNetPreTrainedModel",
        ]
    )
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
    _import_structure["models.rembert"].extend(
        [
            "REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RemBertForCausalLM",
            "RemBertForMaskedLM",
            "RemBertForMultipleChoice",
            "RemBertForQuestionAnswering",
            "RemBertForSequenceClassification",
            "RemBertForTokenClassification",
            "RemBertLayer",
            "RemBertModel",
            "RemBertPreTrainedModel",
            "load_tf_weights_in_rembert",
        ]
    )
1711
1712
1713
1714
1715
1716
1717
1718
    _import_structure["models.resnet"].extend(
        [
            "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ResNetForImageClassification",
            "ResNetModel",
            "ResNetPreTrainedModel",
        ]
    )
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
    _import_structure["models.retribert"].extend(
        ["RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST", "RetriBertModel", "RetriBertPreTrainedModel"]
    )
    _import_structure["models.roberta"].extend(
        [
            "ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RobertaForCausalLM",
            "RobertaForMaskedLM",
            "RobertaForMultipleChoice",
            "RobertaForQuestionAnswering",
            "RobertaForSequenceClassification",
            "RobertaForTokenClassification",
            "RobertaModel",
1732
            "RobertaPreTrainedModel",
1733
1734
        ]
    )
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
    _import_structure["models.roformer"].extend(
        [
            "ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "RoFormerForCausalLM",
            "RoFormerForMaskedLM",
            "RoFormerForMultipleChoice",
            "RoFormerForQuestionAnswering",
            "RoFormerForSequenceClassification",
            "RoFormerForTokenClassification",
            "RoFormerLayer",
            "RoFormerModel",
            "RoFormerPreTrainedModel",
            "load_tf_weights_in_roformer",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
    _import_structure["models.segformer"].extend(
        [
            "SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SegformerDecodeHead",
            "SegformerForImageClassification",
            "SegformerForSemanticSegmentation",
            "SegformerLayer",
            "SegformerModel",
            "SegformerPreTrainedModel",
        ]
    )
1761
1762
1763
1764
    _import_structure["models.sew"].extend(
        [
            "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWForCTC",
1765
            "SEWForSequenceClassification",
1766
1767
1768
1769
1770
1771
1772
1773
            "SEWModel",
            "SEWPreTrainedModel",
        ]
    )
    _import_structure["models.sew_d"].extend(
        [
            "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SEWDForCTC",
1774
            "SEWDForSequenceClassification",
1775
1776
1777
1778
            "SEWDModel",
            "SEWDPreTrainedModel",
        ]
    )
1779
    _import_structure["models.speech_encoder_decoder"].extend(["SpeechEncoderDecoderModel"])
Sylvain Gugger's avatar
Sylvain Gugger committed
1780
1781
1782
1783
1784
    _import_structure["models.speech_to_text"].extend(
        [
            "SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Speech2TextForConditionalGeneration",
            "Speech2TextModel",
1785
            "Speech2TextPreTrainedModel",
Sylvain Gugger's avatar
Sylvain Gugger committed
1786
1787
        ]
    )
1788
    _import_structure["models.speech_to_text_2"].extend(["Speech2Text2ForCausalLM", "Speech2Text2PreTrainedModel"])
Ori Ram's avatar
Ori Ram committed
1789
1790
1791
    _import_structure["models.splinter"].extend(
        [
            "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
1792
            "SplinterForPreTraining",
Ori Ram's avatar
Ori Ram committed
1793
1794
1795
1796
1797
1798
            "SplinterForQuestionAnswering",
            "SplinterLayer",
            "SplinterModel",
            "SplinterPreTrainedModel",
        ]
    )
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
    _import_structure["models.squeezebert"].extend(
        [
            "SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SqueezeBertForMaskedLM",
            "SqueezeBertForMultipleChoice",
            "SqueezeBertForQuestionAnswering",
            "SqueezeBertForSequenceClassification",
            "SqueezeBertForTokenClassification",
            "SqueezeBertModel",
            "SqueezeBertModule",
            "SqueezeBertPreTrainedModel",
        ]
    )
novice's avatar
novice committed
1812
1813
1814
1815
    _import_structure["models.swin"].extend(
        [
            "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "SwinForImageClassification",
NielsRogge's avatar
NielsRogge committed
1816
            "SwinForMaskedImageModeling",
novice's avatar
novice committed
1817
1818
1819
1820
            "SwinModel",
            "SwinPreTrainedModel",
        ]
    )
1821
1822
1823
1824
1825
1826
1827
1828
1829
    _import_structure["models.swinv2"].extend(
        [
            "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "Swinv2ForImageClassification",
            "Swinv2ForMaskedImageModeling",
            "Swinv2Model",
            "Swinv2PreTrainedModel",
        ]
    )
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
    _import_structure["models.t5"].extend(
        [
            "T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "T5EncoderModel",
            "T5ForConditionalGeneration",
            "T5Model",
            "T5PreTrainedModel",
            "load_tf_weights_in_t5",
        ]
    )
Carl's avatar
Carl committed
1840
1841
1842
1843
1844
1845
1846
    _import_structure["models.trajectory_transformer"].extend(
        [
            "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TrajectoryTransformerModel",
            "TrajectoryTransformerPreTrainedModel",
        ]
    )
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
    _import_structure["models.transfo_xl"].extend(
        [
            "TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "AdaptiveEmbedding",
            "TransfoXLForSequenceClassification",
            "TransfoXLLMHeadModel",
            "TransfoXLModel",
            "TransfoXLPreTrainedModel",
            "load_tf_weights_in_transfo_xl",
        ]
    )
1858
1859
1860
    _import_structure["models.trocr"].extend(
        ["TROCR_PRETRAINED_MODEL_ARCHIVE_LIST", "TrOCRForCausalLM", "TrOCRPreTrainedModel"]
    )
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
    _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",
1874
            "UniSpeechSatForAudioFrameClassification",
1875
1876
1877
            "UniSpeechSatForCTC",
            "UniSpeechSatForPreTraining",
            "UniSpeechSatForSequenceClassification",
1878
            "UniSpeechSatForXVector",
1879
1880
1881
1882
            "UniSpeechSatModel",
            "UniSpeechSatPreTrainedModel",
        ]
    )
1883
1884
1885
1886
1887
1888
1889
1890
    _import_structure["models.van"].extend(
        [
            "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VanForImageClassification",
            "VanModel",
            "VanPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1891
1892
1893
1894
1895
    _import_structure["models.vilt"].extend(
        [
            "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViltForImageAndTextRetrieval",
            "ViltForImagesAndTextClassification",
1896
            "ViltForTokenClassification",
NielsRogge's avatar
NielsRogge committed
1897
1898
1899
1900
1901
1902
1903
            "ViltForMaskedLM",
            "ViltForQuestionAnswering",
            "ViltLayer",
            "ViltModel",
            "ViltPreTrainedModel",
        ]
    )
1904
    _import_structure["models.vision_encoder_decoder"].extend(["VisionEncoderDecoderModel"])
Suraj Patil's avatar
Suraj Patil committed
1905
    _import_structure["models.vision_text_dual_encoder"].extend(["VisionTextDualEncoderModel"])
Gunjan Chhablani's avatar
Gunjan Chhablani committed
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
    _import_structure["models.visual_bert"].extend(
        [
            "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VisualBertForMultipleChoice",
            "VisualBertForPreTraining",
            "VisualBertForQuestionAnswering",
            "VisualBertForRegionToPhraseAlignment",
            "VisualBertForVisualReasoning",
            "VisualBertLayer",
            "VisualBertModel",
            "VisualBertPreTrainedModel",
        ]
    )
1919
1920
1921
1922
    _import_structure["models.vit"].extend(
        [
            "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTForImageClassification",
NielsRogge's avatar
NielsRogge committed
1923
            "ViTForMaskedImageModeling",
1924
1925
1926
1927
            "ViTModel",
            "ViTPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1928
1929
1930
1931
1932
1933
1934
1935
1936
    _import_structure["models.vit_mae"].extend(
        [
            "VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "ViTMAEForPreTraining",
            "ViTMAELayer",
            "ViTMAEModel",
            "ViTMAEPreTrainedModel",
        ]
    )
NielsRogge's avatar
NielsRogge committed
1937
1938
1939
1940
1941
1942
1943
1944
1945
    _import_structure["models.videomae"].extend(
        [
            "VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST",
            "VideoMAEForPreTraining",
            "VideoMAEModel",
            "VideoMAEPreTrainedModel",
            "VideoMAEForVideoClassification",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
1946
1947
1948
    _import_structure["models.wav2vec2"].extend(
        [
            "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
1949
            "Wav2Vec2ForAudioFrameClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
1950
1951
            "Wav2Vec2ForCTC",
            "Wav2Vec2ForMaskedLM",
Anton Lozhkov's avatar
Anton Lozhkov committed
1952
            "Wav2Vec2ForPreTraining",
1953
            "Wav2Vec2ForSequenceClassification",
1954
            "Wav2Vec2ForXVector",
Sylvain Gugger's avatar
Sylvain Gugger committed
1955
1956
1957
1958
            "Wav2Vec2Model",
            "Wav2Vec2PreTrainedModel",
        ]
    )
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
    _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
1971
1972
1973
    _import_structure["models.wavlm"].extend(
        [
            "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
1974
            "WavLMForAudioFrameClassification",
Patrick von Platen's avatar
Patrick von Platen committed
1975
1976
            "WavLMForCTC",
            "WavLMForSequenceClassification",
1977
            "WavLMForXVector",
Patrick von Platen's avatar
Patrick von Platen committed
1978
1979
1980
1981
            "WavLMModel",
            "WavLMPreTrainedModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
1982
1983
1984
1985
1986
1987
1988
1989
    _import_structure["models.xglm"].extend(
        [
            "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XGLMForCausalLM",
            "XGLMModel",
            "XGLMPreTrainedModel",
        ]
    )
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
    _import_structure["models.xlm"].extend(
        [
            "XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMForMultipleChoice",
            "XLMForQuestionAnswering",
            "XLMForQuestionAnsweringSimple",
            "XLMForSequenceClassification",
            "XLMForTokenClassification",
            "XLMModel",
            "XLMPreTrainedModel",
            "XLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_prophetnet"].extend(
        [
            "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMProphetNetDecoder",
            "XLMProphetNetEncoder",
            "XLMProphetNetForCausalLM",
            "XLMProphetNetForConditionalGeneration",
            "XLMProphetNetModel",
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaForCausalLM",
            "XLMRobertaForMaskedLM",
            "XLMRobertaForMultipleChoice",
            "XLMRobertaForQuestionAnswering",
            "XLMRobertaForSequenceClassification",
            "XLMRobertaForTokenClassification",
            "XLMRobertaModel",
        ]
    )
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
    _import_structure["models.xlm_roberta_xl"].extend(
        [
            "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLMRobertaXLForCausalLM",
            "XLMRobertaXLForMaskedLM",
            "XLMRobertaXLForMultipleChoice",
            "XLMRobertaXLForQuestionAnswering",
            "XLMRobertaXLForSequenceClassification",
            "XLMRobertaXLForTokenClassification",
            "XLMRobertaXLModel",
            "XLMRobertaXLPreTrainedModel",
        ]
    )
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
    _import_structure["models.xlnet"].extend(
        [
            "XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "XLNetForMultipleChoice",
            "XLNetForQuestionAnswering",
            "XLNetForQuestionAnsweringSimple",
            "XLNetForSequenceClassification",
            "XLNetForTokenClassification",
            "XLNetLMHeadModel",
            "XLNetModel",
            "XLNetPreTrainedModel",
            "load_tf_weights_in_xlnet",
        ]
    )
NielsRogge's avatar
NielsRogge committed
2052
2053
2054
2055
2056
2057
2058
2059
    _import_structure["models.yolos"].extend(
        [
            "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YolosForObjectDetection",
            "YolosModel",
            "YolosPreTrainedModel",
        ]
    )
novice's avatar
novice committed
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
    _import_structure["models.yoso"].extend(
        [
            "YOSO_PRETRAINED_MODEL_ARCHIVE_LIST",
            "YosoForMaskedLM",
            "YosoForMultipleChoice",
            "YosoForQuestionAnswering",
            "YosoForSequenceClassification",
            "YosoForTokenClassification",
            "YosoLayer",
            "YosoModel",
            "YosoPreTrainedModel",
        ]
    )
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
    _import_structure["optimization"] = [
        "Adafactor",
        "AdamW",
        "get_constant_schedule",
        "get_constant_schedule_with_warmup",
        "get_cosine_schedule_with_warmup",
        "get_cosine_with_hard_restarts_schedule_with_warmup",
        "get_linear_schedule_with_warmup",
        "get_polynomial_decay_schedule_with_warmup",
        "get_scheduler",
    ]
2084
    _import_structure["pytorch_utils"] = ["Conv1D", "apply_chunking_to_forward", "prune_layer"]
2085
    _import_structure["sagemaker"] = []
2086
2087
2088
2089
2090
    _import_structure["trainer"] = ["Trainer"]
    _import_structure["trainer_pt_utils"] = ["torch_distributed_zero_first"]
    _import_structure["trainer_seq2seq"] = ["Seq2SeqTrainer"]

# TensorFlow-backed objects
2091
2092
2093
2094
2095
2096
2097
2098
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:
2099
    _import_structure["activations_tf"] = []
2100
2101
    _import_structure["benchmark.benchmark_args_tf"] = ["TensorFlowBenchmarkArguments"]
    _import_structure["benchmark.benchmark_tf"] = ["TensorFlowBenchmark"]
2102
    _import_structure["generation_tf_logits_process"] = [
2103
2104
        "TFForcedBOSTokenLogitsProcessor",
        "TFForcedEOSTokenLogitsProcessor",
2105
2106
        "TFLogitsProcessor",
        "TFLogitsProcessorList",
2107
        "TFLogitsWarper",
2108
2109
2110
2111
        "TFMinLengthLogitsProcessor",
        "TFNoBadWordsLogitsProcessor",
        "TFNoRepeatNGramLogitsProcessor",
        "TFRepetitionPenaltyLogitsProcessor",
2112
2113
2114
        "TFTemperatureLogitsWarper",
        "TFTopKLogitsWarper",
        "TFTopPLogitsWarper",
2115
    ]
2116
    _import_structure["generation_tf_utils"] = ["tf_top_k_top_p_filtering"]
2117
    _import_structure["keras_callbacks"] = ["KerasMetricCallback", "PushToHubCallback"]
2118
    _import_structure["modeling_tf_outputs"] = []
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
    _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",
        ]
2139
    )
2140
2141
2142
    _import_structure["models.auto"].extend(
        [
            "TF_MODEL_FOR_CAUSAL_LM_MAPPING",
Yih-Dar's avatar
Yih-Dar committed
2143
            "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
2144
            "TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING",
2145
2146
2147
2148
            "TF_MODEL_FOR_MASKED_LM_MAPPING",
            "TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING",
            "TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING",
            "TF_MODEL_FOR_PRETRAINING_MAPPING",
2149
            "TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING",
2150
            "TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING",
2151
            "TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING",
2152
2153
            "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
            "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
Joao Gante's avatar
Joao Gante committed
2154
            "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING",
Kamal Raj's avatar
Kamal Raj committed
2155
            "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING",
2156
            "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
2157
            "TF_MODEL_FOR_VISION_2_SEQ_MAPPING",
2158
2159
2160
2161
            "TF_MODEL_MAPPING",
            "TF_MODEL_WITH_LM_HEAD_MAPPING",
            "TFAutoModel",
            "TFAutoModelForCausalLM",
Yih-Dar's avatar
Yih-Dar committed
2162
            "TFAutoModelForImageClassification",
2163
2164
            "TFAutoModelForMaskedLM",
            "TFAutoModelForMultipleChoice",
2165
            "TFAutoModelForNextSentencePrediction",
2166
            "TFAutoModelForPreTraining",
2167
            "TFAutoModelForDocumentQuestionAnswering",
2168
            "TFAutoModelForQuestionAnswering",
2169
            "TFAutoModelForSemanticSegmentation",
2170
2171
            "TFAutoModelForSeq2SeqLM",
            "TFAutoModelForSequenceClassification",
Joao Gante's avatar
Joao Gante committed
2172
            "TFAutoModelForSpeechSeq2Seq",
Kamal Raj's avatar
Kamal Raj committed
2173
            "TFAutoModelForTableQuestionAnswering",
2174
            "TFAutoModelForTokenClassification",
2175
            "TFAutoModelForVision2Seq",
2176
2177
            "TFAutoModelWithLMHead",
        ]
Vasily Shamporov's avatar
Vasily Shamporov committed
2178
    )
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
    _import_structure["models.bart"].extend(["TFBartForConditionalGeneration", "TFBartModel", "TFBartPretrainedModel"])
    _import_structure["models.bert"].extend(
        [
            "TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFBertEmbeddings",
            "TFBertForMaskedLM",
            "TFBertForMultipleChoice",
            "TFBertForNextSentencePrediction",
            "TFBertForPreTraining",
            "TFBertForQuestionAnswering",
            "TFBertForSequenceClassification",
            "TFBertForTokenClassification",
            "TFBertLMHeadModel",
            "TFBertMainLayer",
            "TFBertModel",
            "TFBertPreTrainedModel",
        ]
2196
    )
2197
2198
2199
    _import_structure["models.blenderbot"].extend(
        ["TFBlenderbotForConditionalGeneration", "TFBlenderbotModel", "TFBlenderbotPreTrainedModel"]
    )
2200
    _import_structure["models.blenderbot_small"].extend(
2201
        ["TFBlenderbotSmallForConditionalGeneration", "TFBlenderbotSmallModel", "TFBlenderbotSmallPreTrainedModel"]
2202
    )
2203
2204
2205
    _import_structure["models.camembert"].extend(
        [
            "TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
2206
            "TFCamembertForCausalLM",
2207
2208
2209
2210
2211
2212
2213
            "TFCamembertForMaskedLM",
            "TFCamembertForMultipleChoice",
            "TFCamembertForQuestionAnswering",
            "TFCamembertForSequenceClassification",
            "TFCamembertForTokenClassification",
            "TFCamembertModel",
        ]
2214
    )
Yih-Dar's avatar
Yih-Dar committed
2215
2216
2217
2218
2219
2220
2221
2222
2223
    _import_structure["models.clip"].extend(
        [
            "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCLIPModel",
            "TFCLIPPreTrainedModel",
            "TFCLIPTextModel",
            "TFCLIPVisionModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
    _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
2237
2238
2239
2240
2241
2242
2243
    _import_structure["models.convnext"].extend(
        [
            "TFConvNextForImageClassification",
            "TFConvNextModel",
            "TFConvNextPreTrainedModel",
        ]
    )
2244
2245
2246
2247
2248
2249
2250
2251
    _import_structure["models.ctrl"].extend(
        [
            "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFCTRLForSequenceClassification",
            "TFCTRLLMHeadModel",
            "TFCTRLModel",
            "TFCTRLPreTrainedModel",
        ]
NielsRogge's avatar
NielsRogge committed
2252
    )
2253
2254
2255
    _import_structure["models.data2vec"].extend(
        [
            "TFData2VecVisionForImageClassification",
2256
            "TFData2VecVisionForSemanticSegmentation",
2257
2258
2259
2260
            "TFData2VecVisionModel",
            "TFData2VecVisionPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
    _import_structure["models.deberta"].extend(
        [
            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaForMaskedLM",
            "TFDebertaForQuestionAnswering",
            "TFDebertaForSequenceClassification",
            "TFDebertaForTokenClassification",
            "TFDebertaModel",
            "TFDebertaPreTrainedModel",
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
    _import_structure["models.deberta_v2"].extend(
        [
            "TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDebertaV2ForMaskedLM",
            "TFDebertaV2ForQuestionAnswering",
            "TFDebertaV2ForSequenceClassification",
            "TFDebertaV2ForTokenClassification",
            "TFDebertaV2Model",
            "TFDebertaV2PreTrainedModel",
        ]
    )
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
    _import_structure["models.deit"].extend(
        [
            "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDeiTForImageClassification",
            "TFDeiTForImageClassificationWithTeacher",
            "TFDeiTForMaskedImageModeling",
            "TFDeiTModel",
            "TFDeiTPreTrainedModel",
        ]
    )
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
    _import_structure["models.distilbert"].extend(
        [
            "TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDistilBertForMaskedLM",
            "TFDistilBertForMultipleChoice",
            "TFDistilBertForQuestionAnswering",
            "TFDistilBertForSequenceClassification",
            "TFDistilBertForTokenClassification",
            "TFDistilBertMainLayer",
            "TFDistilBertModel",
            "TFDistilBertPreTrainedModel",
        ]
    )
    _import_structure["models.dpr"].extend(
        [
            "TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFDPRContextEncoder",
            "TFDPRPretrainedContextEncoder",
            "TFDPRPretrainedQuestionEncoder",
            "TFDPRPretrainedReader",
            "TFDPRQuestionEncoder",
            "TFDPRReader",
        ]
    )
    _import_structure["models.electra"].extend(
        [
            "TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFElectraForMaskedLM",
            "TFElectraForMultipleChoice",
            "TFElectraForPreTraining",
            "TFElectraForQuestionAnswering",
            "TFElectraForSequenceClassification",
            "TFElectraForTokenClassification",
            "TFElectraModel",
            "TFElectraPreTrainedModel",
        ]
    )
2332
    _import_structure["models.encoder_decoder"].append("TFEncoderDecoderModel")
2333
2334
2335
2336
2337
2338
2339
2340
    _import_structure["models.flaubert"].extend(
        [
            "TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFlaubertForMultipleChoice",
            "TFFlaubertForQuestionAnsweringSimple",
            "TFFlaubertForSequenceClassification",
            "TFFlaubertForTokenClassification",
            "TFFlaubertModel",
2341
            "TFFlaubertPreTrainedModel",
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
            "TFFlaubertWithLMHeadModel",
        ]
    )
    _import_structure["models.funnel"].extend(
        [
            "TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFFunnelBaseModel",
            "TFFunnelForMaskedLM",
            "TFFunnelForMultipleChoice",
            "TFFunnelForPreTraining",
            "TFFunnelForQuestionAnswering",
            "TFFunnelForSequenceClassification",
            "TFFunnelForTokenClassification",
            "TFFunnelModel",
2356
            "TFFunnelPreTrainedModel",
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
2369
        ]
    )
    _import_structure["models.gpt2"].extend(
        [
            "TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFGPT2DoubleHeadsModel",
            "TFGPT2ForSequenceClassification",
            "TFGPT2LMHeadModel",
            "TFGPT2MainLayer",
            "TFGPT2Model",
            "TFGPT2PreTrainedModel",
        ]
    )
2370
2371
2372
2373
2374
2375
2376
2377
2378
    _import_structure["models.gptj"].extend(
        [
            "TFGPTJForCausalLM",
            "TFGPTJForQuestionAnswering",
            "TFGPTJForSequenceClassification",
            "TFGPTJModel",
            "TFGPTJPreTrainedModel",
        ]
    )
Will Rice's avatar
Will Rice committed
2379
2380
2381
2382
2383
2384
2385
2386
    _import_structure["models.hubert"].extend(
        [
            "TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFHubertForCTC",
            "TFHubertModel",
            "TFHubertPreTrainedModel",
        ]
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
2387
2388
2389
2390
2391
    _import_structure["models.layoutlm"].extend(
        [
            "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMForMaskedLM",
            "TFLayoutLMForSequenceClassification",
2392
            "TFLayoutLMForQuestionAnswering",
Sylvain Gugger's avatar
Sylvain Gugger committed
2393
            "TFLayoutLMForTokenClassification",
Sylvain Gugger's avatar
Sylvain Gugger committed
2394
            "TFLayoutLMMainLayer",
Sylvain Gugger's avatar
Sylvain Gugger committed
2395
2396
2397
2398
            "TFLayoutLMModel",
            "TFLayoutLMPreTrainedModel",
        ]
    )
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
    _import_structure["models.layoutlmv3"].extend(
        [
            "TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLayoutLMv3ForQuestionAnswering",
            "TFLayoutLMv3ForSequenceClassification",
            "TFLayoutLMv3ForTokenClassification",
            "TFLayoutLMv3Model",
            "TFLayoutLMv3PreTrainedModel",
        ]
    )
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
    _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",
2419
            "TFLongformerPreTrainedModel",
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
            "TFLongformerSelfAttention",
        ]
    )
    _import_structure["models.lxmert"].extend(
        [
            "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFLxmertForPreTraining",
            "TFLxmertMainLayer",
            "TFLxmertModel",
            "TFLxmertPreTrainedModel",
            "TFLxmertVisualFeatureEncoder",
        ]
    )
2433
2434
2435
2436
    _import_structure["models.marian"].extend(["TFMarianModel", "TFMarianMTModel", "TFMarianPreTrainedModel"])
    _import_structure["models.mbart"].extend(
        ["TFMBartForConditionalGeneration", "TFMBartModel", "TFMBartPreTrainedModel"]
    )
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
    _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
2452
2453
2454
2455
2456
2457
2458
2459
2460
    _import_structure["models.mobilevit"].extend(
        [
            "TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFMobileViTPreTrainedModel",
            "TFMobileViTModel",
            "TFMobileViTForImageClassification",
            "TFMobileViTForSemanticSegmentation",
        ]
    )
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
    _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
2486
2487
2488
2489
2490
2491
2492
    _import_structure["models.opt"].extend(
        [
            "TFOPTForCausalLM",
            "TFOPTModel",
            "TFOPTPreTrainedModel",
        ]
    )
2493
2494
2495
    _import_structure["models.pegasus"].extend(
        ["TFPegasusForConditionalGeneration", "TFPegasusModel", "TFPegasusPreTrainedModel"]
    )
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
2496
2497
2498
    _import_structure["models.rag"].extend(
        [
            "TFRagModel",
2499
            "TFRagPreTrainedModel",
Ratthachat (Jung)'s avatar
Ratthachat (Jung) committed
2500
2501
2502
2503
            "TFRagSequenceForGeneration",
            "TFRagTokenForGeneration",
        ]
    )
2504
2505
2506
2507
2508
2509
2510
2511
    _import_structure["models.regnet"].extend(
        [
            "TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRegNetForImageClassification",
            "TFRegNetModel",
            "TFRegNetPreTrainedModel",
        ]
    )
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
    _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
2526
2527
2528
2529
2530
2531
2532
2533
    _import_structure["models.resnet"].extend(
        [
            "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFResNetForImageClassification",
            "TFResNetModel",
            "TFResNetPreTrainedModel",
        ]
    )
2534
2535
2536
    _import_structure["models.roberta"].extend(
        [
            "TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
2537
            "TFRobertaForCausalLM",
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
            "TFRobertaForMaskedLM",
            "TFRobertaForMultipleChoice",
            "TFRobertaForQuestionAnswering",
            "TFRobertaForSequenceClassification",
            "TFRobertaForTokenClassification",
            "TFRobertaMainLayer",
            "TFRobertaModel",
            "TFRobertaPreTrainedModel",
        ]
    )
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
    _import_structure["models.roformer"].extend(
        [
            "TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFRoFormerForCausalLM",
            "TFRoFormerForMaskedLM",
            "TFRoFormerForMultipleChoice",
            "TFRoFormerForQuestionAnswering",
            "TFRoFormerForSequenceClassification",
            "TFRoFormerForTokenClassification",
            "TFRoFormerLayer",
            "TFRoFormerModel",
            "TFRoFormerPreTrainedModel",
        ]
    )
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
    _import_structure["models.segformer"].extend(
        [
            "TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSegformerDecodeHead",
            "TFSegformerForImageClassification",
            "TFSegformerForSemanticSegmentation",
            "TFSegformerModel",
            "TFSegformerPreTrainedModel",
        ]
    )
Joao Gante's avatar
Joao Gante committed
2572
2573
2574
2575
2576
2577
2578
2579
    _import_structure["models.speech_to_text"].extend(
        [
            "TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSpeech2TextForConditionalGeneration",
            "TFSpeech2TextModel",
            "TFSpeech2TextPreTrainedModel",
        ]
    )
2580
2581
2582
2583
2584
2585
2586
2587
2588
    _import_structure["models.swin"].extend(
        [
            "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFSwinForImageClassification",
            "TFSwinForMaskedImageModeling",
            "TFSwinModel",
            "TFSwinPreTrainedModel",
        ]
    )
2589
2590
2591
2592
2593
2594
2595
2596
    _import_structure["models.t5"].extend(
        [
            "TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFT5EncoderModel",
            "TFT5ForConditionalGeneration",
            "TFT5Model",
            "TFT5PreTrainedModel",
        ]
2597
    )
Kamal Raj's avatar
Kamal Raj committed
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
    _import_structure["models.tapas"].extend(
        [
            "TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFTapasForMaskedLM",
            "TFTapasForQuestionAnswering",
            "TFTapasForSequenceClassification",
            "TFTapasModel",
            "TFTapasPreTrainedModel",
        ]
    )
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
    _import_structure["models.transfo_xl"].extend(
        [
            "TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFAdaptiveEmbedding",
            "TFTransfoXLForSequenceClassification",
            "TFTransfoXLLMHeadModel",
            "TFTransfoXLMainLayer",
            "TFTransfoXLModel",
            "TFTransfoXLPreTrainedModel",
        ]
    )
2619
    _import_structure["models.vision_encoder_decoder"].extend(["TFVisionEncoderDecoderModel"])
Yih-Dar's avatar
Yih-Dar committed
2620
2621
2622
2623
2624
2625
2626
    _import_structure["models.vit"].extend(
        [
            "TFViTForImageClassification",
            "TFViTModel",
            "TFViTPreTrainedModel",
        ]
    )
Sayak Paul's avatar
Sayak Paul committed
2627
2628
2629
2630
2631
2632
2633
    _import_structure["models.vit_mae"].extend(
        [
            "TFViTMAEForPreTraining",
            "TFViTMAEModel",
            "TFViTMAEPreTrainedModel",
        ]
    )
Will Rice's avatar
Will Rice committed
2634
2635
2636
2637
2638
2639
2640
2641
    _import_structure["models.wav2vec2"].extend(
        [
            "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFWav2Vec2ForCTC",
            "TFWav2Vec2Model",
            "TFWav2Vec2PreTrainedModel",
        ]
    )
2642
2643
2644
2645
2646
2647
2648
2649
    _import_structure["models.xglm"].extend(
        [
            "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXGLMForCausalLM",
            "TFXGLMModel",
            "TFXGLMPreTrainedModel",
        ]
    )
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
2663
2664
2665
2666
2667
2668
2669
2670
2671
2672
2673
2674
2675
2676
2677
2678
2679
2680
2681
2682
2683
2684
2685
2686
2687
    _import_structure["models.xlm"].extend(
        [
            "TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLMForMultipleChoice",
            "TFXLMForQuestionAnsweringSimple",
            "TFXLMForSequenceClassification",
            "TFXLMForTokenClassification",
            "TFXLMMainLayer",
            "TFXLMModel",
            "TFXLMPreTrainedModel",
            "TFXLMWithLMHeadModel",
        ]
    )
    _import_structure["models.xlm_roberta"].extend(
        [
            "TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLMRobertaForMaskedLM",
            "TFXLMRobertaForMultipleChoice",
            "TFXLMRobertaForQuestionAnswering",
            "TFXLMRobertaForSequenceClassification",
            "TFXLMRobertaForTokenClassification",
            "TFXLMRobertaModel",
        ]
    )
    _import_structure["models.xlnet"].extend(
        [
            "TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST",
            "TFXLNetForMultipleChoice",
            "TFXLNetForQuestionAnsweringSimple",
            "TFXLNetForSequenceClassification",
            "TFXLNetForTokenClassification",
            "TFXLNetLMHeadModel",
            "TFXLNetMainLayer",
            "TFXLNetModel",
            "TFXLNetPreTrainedModel",
        ]
    )
    _import_structure["optimization_tf"] = ["AdamWeightDecay", "GradientAccumulator", "WarmUp", "create_optimizer"]
2688
    _import_structure["tf_utils"] = []
2689
    _import_structure["trainer_tf"] = ["TFTrainer"]
thomwolf's avatar
thomwolf committed
2690

2691
2692

# FLAX-backed objects
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
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:
Patrick von Platen's avatar
Patrick von Platen committed
2703
    _import_structure["generation_flax_logits_process"] = [
2704
2705
        "FlaxForcedBOSTokenLogitsProcessor",
        "FlaxForcedEOSTokenLogitsProcessor",
Patrick von Platen's avatar
Patrick von Platen committed
2706
2707
2708
        "FlaxLogitsProcessor",
        "FlaxLogitsProcessorList",
        "FlaxLogitsWarper",
2709
        "FlaxMinLengthLogitsProcessor",
Patrick von Platen's avatar
Patrick von Platen committed
2710
2711
2712
2713
        "FlaxTemperatureLogitsWarper",
        "FlaxTopKLogitsWarper",
        "FlaxTopPLogitsWarper",
    ]
2714
2715
    _import_structure["generation_flax_utils"] = []
    _import_structure["modeling_flax_outputs"] = []
2716
    _import_structure["modeling_flax_utils"] = ["FlaxPreTrainedModel"]
Kamal Raj's avatar
Kamal Raj committed
2717
2718
2719
2720
2721
2722
2723
2724
2725
2726
2727
2728
    _import_structure["models.albert"].extend(
        [
            "FlaxAlbertForMaskedLM",
            "FlaxAlbertForMultipleChoice",
            "FlaxAlbertForPreTraining",
            "FlaxAlbertForQuestionAnswering",
            "FlaxAlbertForSequenceClassification",
            "FlaxAlbertForTokenClassification",
            "FlaxAlbertModel",
            "FlaxAlbertPreTrainedModel",
        ]
    )
2729
2730
    _import_structure["models.auto"].extend(
        [
Suraj Patil's avatar
Suraj Patil committed
2731
            "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING",
2732
            "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING",
2733
2734
2735
2736
2737
            "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",
2738
            "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING",
2739
2740
            "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING",
            "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING",
2741
            "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING",
2742
2743
            "FLAX_MODEL_MAPPING",
            "FlaxAutoModel",
Suraj Patil's avatar
Suraj Patil committed
2744
            "FlaxAutoModelForCausalLM",
2745
            "FlaxAutoModelForImageClassification",
2746
2747
2748
2749
2750
            "FlaxAutoModelForMaskedLM",
            "FlaxAutoModelForMultipleChoice",
            "FlaxAutoModelForNextSentencePrediction",
            "FlaxAutoModelForPreTraining",
            "FlaxAutoModelForQuestionAnswering",
2751
            "FlaxAutoModelForSeq2SeqLM",
2752
2753
            "FlaxAutoModelForSequenceClassification",
            "FlaxAutoModelForTokenClassification",
2754
            "FlaxAutoModelForVision2Seq",
2755
2756
        ]
    )
2757
2758

    # Flax models structure
Suraj Patil's avatar
Suraj Patil committed
2759

Daniel Stancl's avatar
Daniel Stancl committed
2760
2761
    _import_structure["models.bart"].extend(
        [
2762
2763
            "FlaxBartDecoderPreTrainedModel",
            "FlaxBartForCausalLM",
Daniel Stancl's avatar
Daniel Stancl committed
2764
2765
2766
2767
            "FlaxBartForConditionalGeneration",
            "FlaxBartForQuestionAnswering",
            "FlaxBartForSequenceClassification",
            "FlaxBartModel",
2768
            "FlaxBartPreTrainedModel",
Daniel Stancl's avatar
Daniel Stancl committed
2769
2770
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2771
2772
2773
2774
2775
2776
2777
2778
    _import_structure["models.beit"].extend(
        [
            "FlaxBeitForImageClassification",
            "FlaxBeitForMaskedImageModeling",
            "FlaxBeitModel",
            "FlaxBeitPreTrainedModel",
        ]
    )
Younes Belkada's avatar
Younes Belkada committed
2779

2780
2781
    _import_structure["models.bert"].extend(
        [
2782
            "FlaxBertForCausalLM",
2783
2784
2785
2786
2787
2788
2789
2790
2791
2792
2793
            "FlaxBertForMaskedLM",
            "FlaxBertForMultipleChoice",
            "FlaxBertForNextSentencePrediction",
            "FlaxBertForPreTraining",
            "FlaxBertForQuestionAnswering",
            "FlaxBertForSequenceClassification",
            "FlaxBertForTokenClassification",
            "FlaxBertModel",
            "FlaxBertPreTrainedModel",
        ]
    )
Vasudev Gupta's avatar
Vasudev Gupta committed
2794
2795
    _import_structure["models.big_bird"].extend(
        [
2796
            "FlaxBigBirdForCausalLM",
Vasudev Gupta's avatar
Vasudev Gupta committed
2797
2798
2799
2800
2801
2802
2803
2804
2805
2806
            "FlaxBigBirdForMaskedLM",
            "FlaxBigBirdForMultipleChoice",
            "FlaxBigBirdForPreTraining",
            "FlaxBigBirdForQuestionAnswering",
            "FlaxBigBirdForSequenceClassification",
            "FlaxBigBirdForTokenClassification",
            "FlaxBigBirdModel",
            "FlaxBigBirdPreTrainedModel",
        ]
    )
2807
2808
2809
    _import_structure["models.blenderbot"].extend(
        ["FlaxBlenderbotForConditionalGeneration", "FlaxBlenderbotModel", "FlaxBlenderbotPreTrainedModel"]
    )
2810
2811
2812
2813
2814
2815
2816
    _import_structure["models.blenderbot_small"].extend(
        [
            "FlaxBlenderbotSmallForConditionalGeneration",
            "FlaxBlenderbotSmallModel",
            "FlaxBlenderbotSmallPreTrainedModel",
        ]
    )
Suraj Patil's avatar
Suraj Patil committed
2817
2818
2819
2820
2821
    _import_structure["models.clip"].extend(
        [
            "FlaxCLIPModel",
            "FlaxCLIPPreTrainedModel",
            "FlaxCLIPTextModel",
2822
            "FlaxCLIPTextPreTrainedModel",
Suraj Patil's avatar
Suraj Patil committed
2823
            "FlaxCLIPVisionModel",
2824
            "FlaxCLIPVisionPreTrainedModel",
Suraj Patil's avatar
Suraj Patil committed
2825
2826
        ]
    )
Kamal Raj's avatar
Kamal Raj committed
2827
2828
2829
2830
2831
2832
2833
2834
2835
2836
2837
    _import_structure["models.distilbert"].extend(
        [
            "FlaxDistilBertForMaskedLM",
            "FlaxDistilBertForMultipleChoice",
            "FlaxDistilBertForQuestionAnswering",
            "FlaxDistilBertForSequenceClassification",
            "FlaxDistilBertForTokenClassification",
            "FlaxDistilBertModel",
            "FlaxDistilBertPreTrainedModel",
        ]
    )
2838
2839
    _import_structure["models.electra"].extend(
        [
2840
            "FlaxElectraForCausalLM",
2841
2842
2843
2844
2845
2846
2847
2848
2849
2850
            "FlaxElectraForMaskedLM",
            "FlaxElectraForMultipleChoice",
            "FlaxElectraForPreTraining",
            "FlaxElectraForQuestionAnswering",
            "FlaxElectraForSequenceClassification",
            "FlaxElectraForTokenClassification",
            "FlaxElectraModel",
            "FlaxElectraPreTrainedModel",
        ]
    )
2851
    _import_structure["models.encoder_decoder"].append("FlaxEncoderDecoderModel")
2852
    _import_structure["models.gpt2"].extend(["FlaxGPT2LMHeadModel", "FlaxGPT2Model", "FlaxGPT2PreTrainedModel"])
Suraj Patil's avatar
Suraj Patil committed
2853
2854
2855
    _import_structure["models.gpt_neo"].extend(
        ["FlaxGPTNeoForCausalLM", "FlaxGPTNeoModel", "FlaxGPTNeoPreTrainedModel"]
    )
Suraj Patil's avatar
Suraj Patil committed
2856
    _import_structure["models.gptj"].extend(["FlaxGPTJForCausalLM", "FlaxGPTJModel", "FlaxGPTJPreTrainedModel"])
Daniel Stancl's avatar
Daniel Stancl committed
2857
2858
2859
    _import_structure["models.longt5"].extend(
        ["FlaxLongT5ForConditionalGeneration", "FlaxLongT5Model", "FlaxLongT5PreTrainedModel"]
    )
2860
2861
2862
2863
2864
2865
2866
    _import_structure["models.marian"].extend(
        [
            "FlaxMarianModel",
            "FlaxMarianMTModel",
            "FlaxMarianPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
2867
2868
2869
2870
2871
2872
2873
2874
2875
    _import_structure["models.mbart"].extend(
        [
            "FlaxMBartForConditionalGeneration",
            "FlaxMBartForQuestionAnswering",
            "FlaxMBartForSequenceClassification",
            "FlaxMBartModel",
            "FlaxMBartPreTrainedModel",
        ]
    )
Crystina's avatar
Crystina committed
2876
    _import_structure["models.mt5"].extend(["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"])
Arthur's avatar
Arthur committed
2877
2878
2879
2880
2881
2882
2883
    _import_structure["models.opt"].extend(
        [
            "FlaxOPTForCausalLM",
            "FlaxOPTModel",
            "FlaxOPTPreTrainedModel",
        ]
    )
2884
2885
2886
2887
2888
2889
2890
    _import_structure["models.pegasus"].extend(
        [
            "FlaxPegasusForConditionalGeneration",
            "FlaxPegasusModel",
            "FlaxPegasusPreTrainedModel",
        ]
    )
2891
2892
    _import_structure["models.roberta"].extend(
        [
2893
            "FlaxRobertaForCausalLM",
2894
2895
2896
2897
2898
2899
2900
2901
2902
            "FlaxRobertaForMaskedLM",
            "FlaxRobertaForMultipleChoice",
            "FlaxRobertaForQuestionAnswering",
            "FlaxRobertaForSequenceClassification",
            "FlaxRobertaForTokenClassification",
            "FlaxRobertaModel",
            "FlaxRobertaPreTrainedModel",
        ]
    )
Daniel Stancl's avatar
Daniel Stancl committed
2903
2904
2905
2906
2907
2908
2909
2910
2911
2912
2913
    _import_structure["models.roformer"].extend(
        [
            "FlaxRoFormerForMaskedLM",
            "FlaxRoFormerForMultipleChoice",
            "FlaxRoFormerForQuestionAnswering",
            "FlaxRoFormerForSequenceClassification",
            "FlaxRoFormerForTokenClassification",
            "FlaxRoFormerModel",
            "FlaxRoFormerPreTrainedModel",
        ]
    )
2914
    _import_structure["models.speech_encoder_decoder"].append("FlaxSpeechEncoderDecoderModel")
Crystina's avatar
Crystina committed
2915
2916
2917
    _import_structure["models.t5"].extend(
        ["FlaxT5EncoderModel", "FlaxT5ForConditionalGeneration", "FlaxT5Model", "FlaxT5PreTrainedModel"]
    )
2918
    _import_structure["models.vision_encoder_decoder"].append("FlaxVisionEncoderDecoderModel")
Suraj Patil's avatar
Suraj Patil committed
2919
    _import_structure["models.vision_text_dual_encoder"].extend(["FlaxVisionTextDualEncoderModel"])
2920
    _import_structure["models.vit"].extend(["FlaxViTForImageClassification", "FlaxViTModel", "FlaxViTPreTrainedModel"])
2921
2922
2923
    _import_structure["models.wav2vec2"].extend(
        ["FlaxWav2Vec2ForCTC", "FlaxWav2Vec2ForPreTraining", "FlaxWav2Vec2Model", "FlaxWav2Vec2PreTrainedModel"]
    )
Suraj Patil's avatar
Suraj Patil committed
2924
2925
2926
2927
2928
2929
2930
    _import_structure["models.xglm"].extend(
        [
            "FlaxXGLMForCausalLM",
            "FlaxXGLMModel",
            "FlaxXGLMPreTrainedModel",
        ]
    )
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
    _import_structure["models.xlm_roberta"].extend(
        [
            "FlaxXLMRobertaForMaskedLM",
            "FlaxXLMRobertaForMultipleChoice",
            "FlaxXLMRobertaForQuestionAnswering",
            "FlaxXLMRobertaForSequenceClassification",
            "FlaxXLMRobertaForTokenClassification",
            "FlaxXLMRobertaModel",
        ]
    )
2941

2942

2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
# 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,
    )
2969
2970
2971
2972
2973
2974
2975
2976
2977
    from .data.data_collator import (
        DataCollator,
        DataCollatorForLanguageModeling,
        DataCollatorForPermutationLanguageModeling,
        DataCollatorForSeq2Seq,
        DataCollatorForSOP,
        DataCollatorForTokenClassification,
        DataCollatorForWholeWordMask,
        DataCollatorWithPadding,
2978
        DefaultDataCollator,
2979
2980
        default_data_collator,
    )
2981
    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
2982

2983
    # Feature Extractor
2984
    from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
2985
    from .hf_argparser import HfArgumentParser
Patrick von Platen's avatar
Patrick von Platen committed
2986

2987
2988
2989
    # Integrations
    from .integrations import (
        is_comet_available,
2990
        is_neptune_available,
2991
2992
2993
        is_optuna_available,
        is_ray_available,
        is_ray_tune_available,
2994
        is_sigopt_available,
2995
2996
        is_tensorboard_available,
        is_wandb_available,
2997
    )
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012

    # 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
Sylvain Gugger's avatar
Sylvain Gugger committed
3013
    from .models.auto import (
3014
3015
        ALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CONFIG_MAPPING,
3016
        FEATURE_EXTRACTOR_MAPPING,
3017
        MODEL_NAMES_MAPPING,
Sylvain Gugger's avatar
Sylvain Gugger committed
3018
        PROCESSOR_MAPPING,
3019
3020
        TOKENIZER_MAPPING,
        AutoConfig,
3021
        AutoFeatureExtractor,
Sylvain Gugger's avatar
Sylvain Gugger committed
3022
        AutoProcessor,
3023
3024
3025
        AutoTokenizer,
    )
    from .models.bart import BartConfig, BartTokenizer
NielsRogge's avatar
NielsRogge committed
3026
    from .models.beit import BEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BeitConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
3027
    from .models.bert import (
3028
3029
3030
3031
3032
        BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BasicTokenizer,
        BertConfig,
        BertTokenizer,
        WordpieceTokenizer,
3033
    )
3034
3035
3036
    from .models.bert_generation import BertGenerationConfig
    from .models.bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer
    from .models.bertweet import BertweetTokenizer
3037
    from .models.big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig
Vasudev Gupta's avatar
Vasudev Gupta committed
3038
    from .models.bigbird_pegasus import BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdPegasusConfig
3039
3040
3041
3042
3043
3044
    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
3045
    from .models.bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig
Patrick von Platen's avatar
Patrick von Platen committed
3046
    from .models.byt5 import ByT5Tokenizer
3047
    from .models.camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig
NielsRogge's avatar
NielsRogge committed
3048
    from .models.canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig, CanineTokenizer
Suraj Patil's avatar
Suraj Patil committed
3049
3050
3051
    from .models.clip import (
        CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        CLIPConfig,
NielsRogge's avatar
NielsRogge committed
3052
        CLIPProcessor,
Suraj Patil's avatar
Suraj Patil committed
3053
3054
3055
3056
        CLIPTextConfig,
        CLIPTokenizer,
        CLIPVisionConfig,
    )
rooa's avatar
rooa committed
3057
    from .models.codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenTokenizer
abhishek thakur's avatar
abhishek thakur committed
3058
    from .models.convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertTokenizer
NielsRogge's avatar
NielsRogge committed
3059
    from .models.convnext import CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvNextConfig
3060
    from .models.ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig, CTRLTokenizer
NielsRogge's avatar
NielsRogge committed
3061
    from .models.cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig
3062
3063
3064
3065
3066
3067
3068
    from .models.data2vec import (
        DATA2VEC_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DATA2VEC_VISION_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Data2VecAudioConfig,
        Data2VecTextConfig,
        Data2VecVisionConfig,
    )
3069
    from .models.deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaTokenizer
3070
    from .models.deberta_v2 import DEBERTA_V2_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaV2Config
3071
3072
3073
3074
    from .models.decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
NielsRogge's avatar
NielsRogge committed
3075
    from .models.deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
NielsRogge's avatar
NielsRogge committed
3076
    from .models.detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig
3077
    from .models.distilbert import DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, DistilBertConfig, DistilBertTokenizer
NielsRogge's avatar
NielsRogge committed
3078
    from .models.donut import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutProcessor, DonutSwinConfig
Sylvain Gugger's avatar
Sylvain Gugger committed
3079
    from .models.dpr import (
3080
3081
3082
3083
3084
3085
        DPR_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DPRConfig,
        DPRContextEncoderTokenizer,
        DPRQuestionEncoderTokenizer,
        DPRReaderOutput,
        DPRReaderTokenizer,
3086
    )
NielsRogge's avatar
NielsRogge committed
3087
    from .models.dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig
3088
3089
    from .models.electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraTokenizer
    from .models.encoder_decoder import EncoderDecoderConfig
3090
    from .models.ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig
3091
    from .models.flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertTokenizer
3092
3093
3094
3095
3096
3097
3098
3099
    from .models.flava import (
        FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
        FlavaConfig,
        FlavaImageCodebookConfig,
        FlavaImageConfig,
        FlavaMultimodalConfig,
        FlavaTextConfig,
    )
3100
    from .models.fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig
3101
3102
    from .models.fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig, FSMTTokenizer
    from .models.funnel import FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP, FunnelConfig, FunnelTokenizer
NielsRogge's avatar
NielsRogge committed
3103
    from .models.glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig
3104
    from .models.gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2Tokenizer
Suraj Patil's avatar
Suraj Patil committed
3105
    from .models.gpt_neo import GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoConfig
3106
    from .models.gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig
Stella Biderman's avatar
Stella Biderman committed
3107
    from .models.gptj import GPTJ_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTJConfig
3108
3109
3110
3111
3112
3113
    from .models.groupvit import (
        GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        GroupViTConfig,
        GroupViTTextConfig,
        GroupViTVisionConfig,
    )
3114
    from .models.herbert import HerbertTokenizer
Patrick von Platen's avatar
Patrick von Platen committed
3115
    from .models.hubert import HUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, HubertConfig
Sehoon Kim's avatar
Sehoon Kim committed
3116
    from .models.ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig
NielsRogge's avatar
NielsRogge committed
3117
    from .models.imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig
3118
    from .models.layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMTokenizer
3119
3120
3121
3122
3123
3124
3125
    from .models.layoutlmv2 import (
        LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv2Config,
        LayoutLMv2FeatureExtractor,
        LayoutLMv2Processor,
        LayoutLMv2Tokenizer,
    )
NielsRogge's avatar
NielsRogge committed
3126
3127
3128
3129
3130
3131
3132
    from .models.layoutlmv3 import (
        LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
        LayoutLMv3Config,
        LayoutLMv3FeatureExtractor,
        LayoutLMv3Processor,
        LayoutLMv3Tokenizer,
    )
3133
    from .models.layoutxlm import LayoutXLMProcessor
3134
    from .models.led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig, LEDTokenizer
3135
    from .models.levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig
3136
    from .models.longformer import LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, LongformerConfig, LongformerTokenizer
Daniel Stancl's avatar
Daniel Stancl committed
3137
    from .models.longt5 import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongT5Config
NielsRogge's avatar
NielsRogge committed
3138
    from .models.luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig, LukeTokenizer
3139
    from .models.lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig, LxmertTokenizer
3140
    from .models.m2m_100 import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, M2M100Config
3141
    from .models.marian import MarianConfig
3142
    from .models.maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
3143
    from .models.mbart import MBartConfig
Chan Woo Kim's avatar
Chan Woo Kim committed
3144
    from .models.mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig, MCTCTProcessor
3145
    from .models.megatron_bert import MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MegatronBertConfig
3146
3147
    from .models.mmbt import MMBTConfig
    from .models.mobilebert import MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileBertConfig, MobileBertTokenizer
3148
    from .models.mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig
3149
3150
    from .models.mpnet import MPNET_PRETRAINED_CONFIG_ARCHIVE_MAP, MPNetConfig, MPNetTokenizer
    from .models.mt5 import MT5Config
StevenTang1998's avatar
StevenTang1998 committed
3151
    from .models.mvp import MvpConfig, MvpTokenizer
3152
    from .models.nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig
novice's avatar
novice committed
3153
    from .models.nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig
3154
    from .models.openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig, OpenAIGPTTokenizer
Younes Belkada's avatar
Younes Belkada committed
3155
    from .models.opt import OPTConfig
3156
3157
3158
3159
3160
3161
3162
    from .models.owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTProcessor,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
3163
    from .models.pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig, PegasusTokenizer
Jason Phang's avatar
Jason Phang committed
3164
    from .models.pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig
NielsRogge's avatar
NielsRogge committed
3165
    from .models.perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig, PerceiverTokenizer
3166
    from .models.phobert import PhobertTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3167
    from .models.plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig
Tanay Mehta's avatar
Tanay Mehta committed
3168
    from .models.poolformer import POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, PoolFormerConfig
3169
    from .models.prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig, ProphetNetTokenizer
3170
    from .models.qdqbert import QDQBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, QDQBertConfig
3171
    from .models.rag import RagConfig, RagRetriever, RagTokenizer
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
3172
    from .models.realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig, RealmTokenizer
3173
    from .models.reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
3174
    from .models.regnet import REGNET_PRETRAINED_CONFIG_ARCHIVE_MAP, RegNetConfig
3175
    from .models.rembert import REMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RemBertConfig
3176
    from .models.resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig
3177
3178
    from .models.retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig, RetriBertTokenizer
    from .models.roberta import ROBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, RobertaConfig, RobertaTokenizer
3179
    from .models.roformer import ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, RoFormerConfig, RoFormerTokenizer
NielsRogge's avatar
NielsRogge committed
3180
    from .models.segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig
3181
3182
    from .models.sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig
    from .models.sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
3183
    from .models.speech_encoder_decoder import SpeechEncoderDecoderConfig
3184
    from .models.speech_to_text import SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, Speech2TextConfig
3185
3186
3187
3188
3189
3190
    from .models.speech_to_text_2 import (
        SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Speech2Text2Config,
        Speech2Text2Processor,
        Speech2Text2Tokenizer,
    )
Ori Ram's avatar
Ori Ram committed
3191
    from .models.splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig, SplinterTokenizer
3192
    from .models.squeezebert import SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, SqueezeBertConfig, SqueezeBertTokenizer
novice's avatar
novice committed
3193
    from .models.swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig
3194
    from .models.swinv2 import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, Swinv2Config
3195
3196
    from .models.t5 import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, T5Config
    from .models.tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig, TapasTokenizer
NielsRogge's avatar
NielsRogge committed
3197
    from .models.tapex import TapexTokenizer
Carl's avatar
Carl committed
3198
3199
3200
3201
    from .models.trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TrajectoryTransformerConfig,
    )
Sylvain Gugger's avatar
Sylvain Gugger committed
3202
    from .models.transfo_xl import (
3203
3204
3205
3206
3207
        TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
        TransfoXLConfig,
        TransfoXLCorpus,
        TransfoXLTokenizer,
    )
3208
    from .models.trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig, TrOCRProcessor
3209
3210
    from .models.unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig
    from .models.unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig
3211
    from .models.van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig
NielsRogge's avatar
NielsRogge committed
3212
    from .models.videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig
NielsRogge's avatar
NielsRogge committed
3213
    from .models.vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig, ViltFeatureExtractor, ViltProcessor
3214
    from .models.vision_encoder_decoder import VisionEncoderDecoderConfig
Suraj Patil's avatar
Suraj Patil committed
3215
    from .models.vision_text_dual_encoder import VisionTextDualEncoderConfig, VisionTextDualEncoderProcessor
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3216
    from .models.visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig
3217
    from .models.vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig
NielsRogge's avatar
NielsRogge committed
3218
    from .models.vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig
3219
3220
3221
3222
3223
3224
3225
3226
    from .models.wav2vec2 import (
        WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
        Wav2Vec2Config,
        Wav2Vec2CTCTokenizer,
        Wav2Vec2FeatureExtractor,
        Wav2Vec2Processor,
        Wav2Vec2Tokenizer,
    )
3227
    from .models.wav2vec2_conformer import WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, Wav2Vec2ConformerConfig
3228
    from .models.wav2vec2_phoneme import Wav2Vec2PhonemeCTCTokenizer
Sylvain Gugger's avatar
Sylvain Gugger committed
3229
    from .models.wav2vec2_with_lm import Wav2Vec2ProcessorWithLM
Patrick von Platen's avatar
Patrick von Platen committed
3230
    from .models.wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig
NielsRogge's avatar
NielsRogge committed
3231
3232
3233
3234
3235
3236
3237
    from .models.x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPProcessor,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
Suraj Patil's avatar
Suraj Patil committed
3238
    from .models.xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig
3239
3240
3241
    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
3242
    from .models.xlm_roberta_xl import XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMRobertaXLConfig
3243
    from .models.xlnet import XLNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLNetConfig
NielsRogge's avatar
NielsRogge committed
3244
    from .models.yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig
novice's avatar
novice committed
3245
    from .models.yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
3246
3247
3248

    # Pipelines
    from .pipelines import (
3249
        AudioClassificationPipeline,
3250
        AutomaticSpeechRecognitionPipeline,
3251
3252
3253
        Conversation,
        ConversationalPipeline,
        CsvPipelineDataFormat,
3254
        DocumentQuestionAnsweringPipeline,
3255
3256
        FeatureExtractionPipeline,
        FillMaskPipeline,
3257
        ImageClassificationPipeline,
3258
        ImageSegmentationPipeline,
3259
        ImageToTextPipeline,
3260
3261
        JsonPipelineDataFormat,
        NerPipeline,
3262
        ObjectDetectionPipeline,
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
        PipedPipelineDataFormat,
        Pipeline,
        PipelineDataFormat,
        QuestionAnsweringPipeline,
        SummarizationPipeline,
        TableQuestionAnsweringPipeline,
        Text2TextGenerationPipeline,
        TextClassificationPipeline,
        TextGenerationPipeline,
        TokenClassificationPipeline,
        TranslationPipeline,
3274
        VisualQuestionAnsweringPipeline,
3275
        ZeroShotClassificationPipeline,
3276
        ZeroShotImageClassificationPipeline,
3277
3278
        pipeline,
    )
3279
    from .processing_utils import ProcessorMixin
3280
3281
3282
3283
3284
3285
3286
3287
3288
3289
3290

    # Tokenization
    from .tokenization_utils import PreTrainedTokenizer
    from .tokenization_utils_base import (
        AddedToken,
        BatchEncoding,
        CharSpan,
        PreTrainedTokenizerBase,
        SpecialTokensMixin,
        TokenSpan,
    )
Lysandre's avatar
Lysandre committed
3291

Julien Plu's avatar
Julien Plu committed
3292
    # Trainer
3293
3294
3295
3296
3297
3298
3299
3300
3301
    from .trainer_callback import (
        DefaultFlowCallback,
        EarlyStoppingCallback,
        PrinterCallback,
        ProgressCallback,
        TrainerCallback,
        TrainerControl,
        TrainerState,
    )
3302
    from .trainer_utils import EvalPrediction, IntervalStrategy, SchedulerType, enable_full_determinism, set_seed
3303
3304
3305
    from .training_args import TrainingArguments
    from .training_args_seq2seq import Seq2SeqTrainingArguments
    from .training_args_tf import TFTrainingArguments
3306
3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
3326
3327
3328
3329
3330
3331
3332

    # Files and general utilities
    from .utils import (
        CONFIG_NAME,
        MODEL_CARD_NAME,
        PYTORCH_PRETRAINED_BERT_CACHE,
        PYTORCH_TRANSFORMERS_CACHE,
        SPIECE_UNDERLINE,
        TF2_WEIGHTS_NAME,
        TF_WEIGHTS_NAME,
        TRANSFORMERS_CACHE,
        WEIGHTS_NAME,
        TensorType,
        add_end_docstrings,
        add_start_docstrings,
        is_apex_available,
        is_datasets_available,
        is_faiss_available,
        is_flax_available,
        is_phonemizer_available,
        is_psutil_available,
        is_py3nvml_available,
        is_pyctcdecode_available,
        is_scipy_available,
        is_sentencepiece_available,
        is_sklearn_available,
        is_speech_available,
3333
        is_tensorflow_text_available,
3334
3335
3336
3337
3338
3339
3340
3341
        is_tf_available,
        is_timm_available,
        is_tokenizers_available,
        is_torch_available,
        is_torch_tpu_available,
        is_vision_available,
        logging,
    )
Julien Plu's avatar
Julien Plu committed
3342

3343
3344
3345
3346
3347
3348
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_sentencepiece_objects import *
    else:
3349
3350
        from .models.albert import AlbertTokenizer
        from .models.barthez import BarthezTokenizer
3351
        from .models.bartpho import BartphoTokenizer
3352
        from .models.bert_generation import BertGenerationTokenizer
3353
        from .models.big_bird import BigBirdTokenizer
3354
        from .models.camembert import CamembertTokenizer
3355
        from .models.cpm import CpmTokenizer
3356
        from .models.deberta_v2 import DebertaV2Tokenizer
3357
        from .models.fnet import FNetTokenizer
3358
        from .models.layoutxlm import LayoutXLMTokenizer
3359
        from .models.m2m_100 import M2M100Tokenizer
3360
        from .models.marian import MarianTokenizer
Suraj Patil's avatar
Suraj Patil committed
3361
        from .models.mbart import MBart50Tokenizer, MBartTokenizer
Ryokan RI's avatar
Ryokan RI committed
3362
        from .models.mluke import MLukeTokenizer
3363
        from .models.mt5 import MT5Tokenizer
Lysandre Debut's avatar
Lysandre Debut committed
3364
        from .models.nllb import NllbTokenizer
3365
        from .models.pegasus import PegasusTokenizer
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3366
        from .models.plbart import PLBartTokenizer
3367
        from .models.reformer import ReformerTokenizer
3368
        from .models.rembert import RemBertTokenizer
3369
        from .models.speech_to_text import Speech2TextTokenizer
3370
        from .models.t5 import T5Tokenizer
Suraj Patil's avatar
Suraj Patil committed
3371
        from .models.xglm import XGLMTokenizer
3372
3373
3374
        from .models.xlm_prophetnet import XLMProphetNetTokenizer
        from .models.xlm_roberta import XLMRobertaTokenizer
        from .models.xlnet import XLNetTokenizer
3375

3376
3377
3378
3379
3380
3381
3382
    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tokenizers_objects import *
    else:
        # Fast tokenizers imports
3383
3384
3385
3386
        from .models.albert import AlbertTokenizerFast
        from .models.bart import BartTokenizerFast
        from .models.barthez import BarthezTokenizerFast
        from .models.bert import BertTokenizerFast
3387
        from .models.big_bird import BigBirdTokenizerFast
3388
        from .models.blenderbot import BlenderbotTokenizerFast
3389
        from .models.blenderbot_small import BlenderbotSmallTokenizerFast
Younes Belkada's avatar
Younes Belkada committed
3390
        from .models.bloom import BloomTokenizerFast
3391
        from .models.camembert import CamembertTokenizerFast
Suraj Patil's avatar
Suraj Patil committed
3392
        from .models.clip import CLIPTokenizerFast
rooa's avatar
rooa committed
3393
        from .models.codegen import CodeGenTokenizerFast
abhishek thakur's avatar
abhishek thakur committed
3394
        from .models.convbert import ConvBertTokenizerFast
3395
        from .models.cpm import CpmTokenizerFast
3396
        from .models.deberta import DebertaTokenizerFast
3397
        from .models.deberta_v2 import DebertaV2TokenizerFast
3398
3399
3400
        from .models.distilbert import DistilBertTokenizerFast
        from .models.dpr import DPRContextEncoderTokenizerFast, DPRQuestionEncoderTokenizerFast, DPRReaderTokenizerFast
        from .models.electra import ElectraTokenizerFast
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3401
        from .models.fnet import FNetTokenizerFast
3402
3403
        from .models.funnel import FunnelTokenizerFast
        from .models.gpt2 import GPT2TokenizerFast
3404
        from .models.gpt_neox import GPTNeoXTokenizerFast
3405
3406
        from .models.herbert import HerbertTokenizerFast
        from .models.layoutlm import LayoutLMTokenizerFast
3407
        from .models.layoutlmv2 import LayoutLMv2TokenizerFast
NielsRogge's avatar
NielsRogge committed
3408
        from .models.layoutlmv3 import LayoutLMv3TokenizerFast
3409
        from .models.layoutxlm import LayoutXLMTokenizerFast
3410
3411
3412
        from .models.led import LEDTokenizerFast
        from .models.longformer import LongformerTokenizerFast
        from .models.lxmert import LxmertTokenizerFast
3413
3414
        from .models.mbart import MBartTokenizerFast
        from .models.mbart50 import MBart50TokenizerFast
3415
3416
3417
        from .models.mobilebert import MobileBertTokenizerFast
        from .models.mpnet import MPNetTokenizerFast
        from .models.mt5 import MT5TokenizerFast
StevenTang1998's avatar
StevenTang1998 committed
3418
        from .models.mvp import MvpTokenizerFast
Lysandre Debut's avatar
Lysandre Debut committed
3419
        from .models.nllb import NllbTokenizerFast
3420
3421
        from .models.openai import OpenAIGPTTokenizerFast
        from .models.pegasus import PegasusTokenizerFast
3422
        from .models.realm import RealmTokenizerFast
3423
        from .models.reformer import ReformerTokenizerFast
3424
        from .models.rembert import RemBertTokenizerFast
3425
3426
        from .models.retribert import RetriBertTokenizerFast
        from .models.roberta import RobertaTokenizerFast
3427
        from .models.roformer import RoFormerTokenizerFast
Ori Ram's avatar
Ori Ram committed
3428
        from .models.splinter import SplinterTokenizerFast
3429
3430
        from .models.squeezebert import SqueezeBertTokenizerFast
        from .models.t5 import T5TokenizerFast
Suraj Patil's avatar
Suraj Patil committed
3431
        from .models.xglm import XGLMTokenizerFast
3432
3433
3434
        from .models.xlm_roberta import XLMRobertaTokenizerFast
        from .models.xlnet import XLNetTokenizerFast
        from .tokenization_utils_fast import PreTrainedTokenizerFast
3435

3436
3437
3438
3439
3440
    try:
        if not (is_sentencepiece_available() and is_tokenizers_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummies_sentencepiece_and_tokenizers_objects import *
3441
    else:
3442
3443
        from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS, convert_slow_tokenizer

3444
3445
3446
3447
    try:
        if not is_speech_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
3448
        from .utils.dummy_speech_objects import *
3449
    else:
Chan Woo Kim's avatar
Chan Woo Kim committed
3450
        from .models.mctct import MCTCTFeatureExtractor
3451
3452
        from .models.speech_to_text import Speech2TextFeatureExtractor

3453
3454
3455
3456
3457
3458
3459
3460
    try:
        if not is_tensorflow_text_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_tensorflow_text_objects import *
    else:
        from .models.bert import TFBertTokenizer

3461
3462
3463
3464
    try:
        if not (is_speech_available() and is_sentencepiece_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
3465
        from .utils.dummy_sentencepiece_and_speech_objects import *
3466
3467
    else:
        from .models.speech_to_text import Speech2TextProcessor
3468

3469
3470
3471
3472
3473
3474
    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_vision_objects import *
    else:
3475
        from .image_utils import ImageFeatureExtractionMixin
NielsRogge's avatar
NielsRogge committed
3476
        from .models.beit import BeitFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3477
        from .models.clip import CLIPFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3478
        from .models.convnext import ConvNextFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3479
        from .models.deit import DeiTFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3480
        from .models.detr import DetrFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3481
        from .models.donut import DonutFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3482
        from .models.dpt import DPTFeatureExtractor
3483
        from .models.flava import FlavaFeatureExtractor, FlavaProcessor
NielsRogge's avatar
NielsRogge committed
3484
        from .models.glpn import GLPNFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3485
        from .models.imagegpt import ImageGPTFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3486
3487
        from .models.layoutlmv2 import LayoutLMv2FeatureExtractor
        from .models.layoutlmv3 import LayoutLMv3FeatureExtractor
3488
        from .models.levit import LevitFeatureExtractor
3489
        from .models.maskformer import MaskFormerFeatureExtractor
3490
        from .models.mobilevit import MobileViTFeatureExtractor
3491
        from .models.owlvit import OwlViTFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3492
        from .models.perceiver import PerceiverFeatureExtractor
Tanay Mehta's avatar
Tanay Mehta committed
3493
        from .models.poolformer import PoolFormerFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3494
        from .models.segformer import SegformerFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3495
        from .models.videomae import VideoMAEFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3496
        from .models.vilt import ViltFeatureExtractor, ViltProcessor
3497
        from .models.vit import ViTFeatureExtractor
NielsRogge's avatar
NielsRogge committed
3498
        from .models.yolos import YolosFeatureExtractor
3499

3500
    # Modeling
3501
3502
3503
3504
3505
3506
    try:
        if not (is_timm_available() and is_vision_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_timm_objects import *
    else:
NielsRogge's avatar
NielsRogge committed
3507
3508
3509
3510
3511
        from .models.detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
3512
            DetrPreTrainedModel,
NielsRogge's avatar
NielsRogge committed
3513
        )
3514

3515
3516
3517
3518
3519
3520
    try:
        if not is_scatter_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_scatter_objects import *
    else:
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
        from .models.tapas import (
            TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TapasForMaskedLM,
            TapasForQuestionAnswering,
            TapasForSequenceClassification,
            TapasModel,
            TapasPreTrainedModel,
            load_tf_weights_in_tapas,
        )

3531
3532
3533
3534
3535
3536
    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from .utils.dummy_pt_objects import *
    else:
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
        # 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,
        )
3551
3552
3553
3554
3555
3556
        from .generation_beam_constraints import (
            Constraint,
            ConstraintListState,
            DisjunctiveConstraint,
            PhrasalConstraint,
        )
3557
        from .generation_beam_search import BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
3558
        from .generation_logits_process import (
3559
3560
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
3561
            HammingDiversityLogitsProcessor,
3562
            InfNanRemoveLogitsProcessor,
3563
3564
3565
3566
3567
3568
3569
3570
3571
3572
3573
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
            MinLengthLogitsProcessor,
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
3574
            TypicalLogitsWarper,
3575
        )
3576
3577
3578
3579
3580
3581
        from .generation_stopping_criteria import (
            MaxLengthCriteria,
            MaxTimeCriteria,
            StoppingCriteria,
            StoppingCriteriaList,
        )
3582
        from .generation_utils import top_k_top_p_filtering
3583
        from .modeling_utils import PreTrainedModel
3584
3585

        # PyTorch model imports
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
        from .models.albert import (
            ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            AlbertForMaskedLM,
            AlbertForMultipleChoice,
            AlbertForPreTraining,
            AlbertForQuestionAnswering,
            AlbertForSequenceClassification,
            AlbertForTokenClassification,
            AlbertModel,
            AlbertPreTrainedModel,
            load_tf_weights_in_albert,
        )
        from .models.auto import (
3599
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
3600
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
NielsRogge's avatar
NielsRogge committed
3601
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
3602
            MODEL_FOR_CAUSAL_LM_MAPPING,
3603
            MODEL_FOR_CTC_MAPPING,
3604
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
3605
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
3606
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
3607
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
3608
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
3609
3610
3611
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
NielsRogge's avatar
NielsRogge committed
3612
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
3613
3614
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
3615
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
3616
3617
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
3618
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
3619
3620
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
NielsRogge's avatar
NielsRogge committed
3621
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
3622
            MODEL_FOR_VISION_2_SEQ_MAPPING,
3623
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
3624
3625
3626
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
            AutoModel,
3627
            AutoModelForAudioClassification,
3628
3629
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
3630
            AutoModelForCausalLM,
3631
            AutoModelForCTC,
3632
            AutoModelForDocumentQuestionAnswering,
3633
            AutoModelForImageClassification,
3634
            AutoModelForImageSegmentation,
3635
            AutoModelForInstanceSegmentation,
NielsRogge's avatar
NielsRogge committed
3636
            AutoModelForMaskedImageModeling,
3637
3638
3639
            AutoModelForMaskedLM,
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
3640
            AutoModelForObjectDetection,
3641
3642
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
3643
            AutoModelForSemanticSegmentation,
3644
3645
            AutoModelForSeq2SeqLM,
            AutoModelForSequenceClassification,
3646
            AutoModelForSpeechSeq2Seq,
3647
3648
            AutoModelForTableQuestionAnswering,
            AutoModelForTokenClassification,
NielsRogge's avatar
NielsRogge committed
3649
            AutoModelForVideoClassification,
3650
            AutoModelForVision2Seq,
3651
            AutoModelForVisualQuestionAnswering,
3652
3653
3654
3655
            AutoModelWithLMHead,
        )
        from .models.bart import (
            BART_PRETRAINED_MODEL_ARCHIVE_LIST,
3656
            BartForCausalLM,
3657
3658
3659
3660
3661
3662
3663
            BartForConditionalGeneration,
            BartForQuestionAnswering,
            BartForSequenceClassification,
            BartModel,
            BartPretrainedModel,
            PretrainedBartModel,
        )
NielsRogge's avatar
NielsRogge committed
3664
3665
3666
3667
        from .models.beit import (
            BEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BeitForImageClassification,
            BeitForMaskedImageModeling,
3668
            BeitForSemanticSegmentation,
NielsRogge's avatar
NielsRogge committed
3669
3670
3671
            BeitModel,
            BeitPreTrainedModel,
        )
3672
3673
3674
3675
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
        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,
3690
            BertGenerationPreTrainedModel,
3691
3692
            load_tf_weights_in_bert_generation,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
3693
3694
3695
3696
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
        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
3707
3708
3709
3710
3711
3712
3713
        from .models.bigbird_pegasus import (
            BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
            BigBirdPegasusForCausalLM,
            BigBirdPegasusForConditionalGeneration,
            BigBirdPegasusForQuestionAnswering,
            BigBirdPegasusForSequenceClassification,
            BigBirdPegasusModel,
3714
            BigBirdPegasusPreTrainedModel,
Vasudev Gupta's avatar
Vasudev Gupta committed
3715
        )
3716
3717
        from .models.blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
3718
            BlenderbotForCausalLM,
3719
3720
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
3721
            BlenderbotPreTrainedModel,
3722
3723
3724
        )
        from .models.blenderbot_small import (
            BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
3725
            BlenderbotSmallForCausalLM,
3726
3727
            BlenderbotSmallForConditionalGeneration,
            BlenderbotSmallModel,
3728
            BlenderbotSmallPreTrainedModel,
3729
        )
Younes Belkada's avatar
Younes Belkada committed
3730
3731
3732
        from .models.bloom import (
            BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
            BloomForCausalLM,
3733
3734
            BloomForSequenceClassification,
            BloomForTokenClassification,
Younes Belkada's avatar
Younes Belkada committed
3735
3736
3737
            BloomModel,
            BloomPreTrainedModel,
        )
3738
3739
3740
3741
3742
3743
3744
3745
3746
3747
        from .models.camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
        )
NielsRogge's avatar
NielsRogge committed
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
        from .models.canine import (
            CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
            CanineForMultipleChoice,
            CanineForQuestionAnswering,
            CanineForSequenceClassification,
            CanineForTokenClassification,
            CanineLayer,
            CanineModel,
            CaninePreTrainedModel,
            load_tf_weights_in_canine,
        )
Suraj Patil's avatar
Suraj Patil committed
3759
3760
3761
3762
3763
3764
3765
        from .models.clip import (
            CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            CLIPModel,
            CLIPPreTrainedModel,
            CLIPTextModel,
            CLIPVisionModel,
        )
rooa's avatar
rooa committed
3766
3767
3768
3769
3770
3771
        from .models.codegen import (
            CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
            CodeGenForCausalLM,
            CodeGenModel,
            CodeGenPreTrainedModel,
        )
abhishek thakur's avatar
abhishek thakur committed
3772
3773
3774
3775
3776
3777
3778
3779
3780
3781
3782
3783
        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
3784
3785
3786
3787
3788
3789
        from .models.convnext import (
            CONVNEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvNextForImageClassification,
            ConvNextModel,
            ConvNextPreTrainedModel,
        )
3790
3791
3792
3793
3794
3795
3796
        from .models.ctrl import (
            CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            CTRLForSequenceClassification,
            CTRLLMHeadModel,
            CTRLModel,
            CTRLPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
3797
3798
3799
3800
3801
3802
        from .models.cvt import (
            CVT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CvtForImageClassification,
            CvtModel,
            CvtPreTrainedModel,
        )
3803
3804
3805
        from .models.data2vec import (
            DATA2VEC_AUDIO_PRETRAINED_MODEL_ARCHIVE_LIST,
            DATA2VEC_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
3806
            DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST,
3807
3808
3809
3810
3811
3812
3813
3814
3815
3816
3817
3818
3819
3820
            Data2VecAudioForAudioFrameClassification,
            Data2VecAudioForCTC,
            Data2VecAudioForSequenceClassification,
            Data2VecAudioForXVector,
            Data2VecAudioModel,
            Data2VecAudioPreTrainedModel,
            Data2VecTextForCausalLM,
            Data2VecTextForMaskedLM,
            Data2VecTextForMultipleChoice,
            Data2VecTextForQuestionAnswering,
            Data2VecTextForSequenceClassification,
            Data2VecTextForTokenClassification,
            Data2VecTextModel,
            Data2VecTextPreTrainedModel,
3821
3822
3823
3824
            Data2VecVisionForImageClassification,
            Data2VecVisionForSemanticSegmentation,
            Data2VecVisionModel,
            Data2VecVisionPreTrainedModel,
3825
        )
3826
3827
        from .models.deberta import (
            DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
3828
3829
            DebertaForMaskedLM,
            DebertaForQuestionAnswering,
3830
            DebertaForSequenceClassification,
NielsRogge's avatar
NielsRogge committed
3831
            DebertaForTokenClassification,
3832
3833
3834
            DebertaModel,
            DebertaPreTrainedModel,
        )
3835
3836
3837
        from .models.deberta_v2 import (
            DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            DebertaV2ForMaskedLM,
3838
            DebertaV2ForMultipleChoice,
3839
3840
3841
3842
3843
3844
            DebertaV2ForQuestionAnswering,
            DebertaV2ForSequenceClassification,
            DebertaV2ForTokenClassification,
            DebertaV2Model,
            DebertaV2PreTrainedModel,
        )
3845
3846
3847
3848
3849
3850
3851
        from .models.decision_transformer import (
            DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            DecisionTransformerGPT2Model,
            DecisionTransformerGPT2PreTrainedModel,
            DecisionTransformerModel,
            DecisionTransformerPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
3852
3853
3854
3855
        from .models.deit import (
            DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DeiTForImageClassification,
            DeiTForImageClassificationWithTeacher,
NielsRogge's avatar
NielsRogge committed
3856
            DeiTForMaskedImageModeling,
NielsRogge's avatar
NielsRogge committed
3857
3858
3859
            DeiTModel,
            DeiTPreTrainedModel,
        )
3860
3861
3862
3863
3864
3865
3866
3867
3868
3869
        from .models.distilbert import (
            DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DistilBertForMaskedLM,
            DistilBertForMultipleChoice,
            DistilBertForQuestionAnswering,
            DistilBertForSequenceClassification,
            DistilBertForTokenClassification,
            DistilBertModel,
            DistilBertPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
3870
        from .models.donut import DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST, DonutSwinModel, DonutSwinPreTrainedModel
3871
3872
3873
3874
3875
3876
        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,
3877
            DPRPreTrainedModel,
3878
3879
3880
3881
3882
            DPRPretrainedQuestionEncoder,
            DPRPretrainedReader,
            DPRQuestionEncoder,
            DPRReader,
        )
NielsRogge's avatar
NielsRogge committed
3883
3884
3885
3886
3887
3888
3889
        from .models.dpt import (
            DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            DPTForDepthEstimation,
            DPTForSemanticSegmentation,
            DPTModel,
            DPTPreTrainedModel,
        )
3890
3891
        from .models.electra import (
            ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
3892
            ElectraForCausalLM,
3893
3894
3895
3896
3897
3898
3899
3900
3901
3902
3903
            ElectraForMaskedLM,
            ElectraForMultipleChoice,
            ElectraForPreTraining,
            ElectraForQuestionAnswering,
            ElectraForSequenceClassification,
            ElectraForTokenClassification,
            ElectraModel,
            ElectraPreTrainedModel,
            load_tf_weights_in_electra,
        )
        from .models.encoder_decoder import EncoderDecoderModel
3904
3905
3906
3907
3908
3909
3910
3911
3912
3913
3914
3915
3916
        from .models.ernie import (
            ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ErnieForCausalLM,
            ErnieForMaskedLM,
            ErnieForMultipleChoice,
            ErnieForNextSentencePrediction,
            ErnieForPreTraining,
            ErnieForQuestionAnswering,
            ErnieForSequenceClassification,
            ErnieForTokenClassification,
            ErnieModel,
            ErniePreTrainedModel,
        )
3917
3918
3919
3920
3921
3922
3923
3924
3925
3926
        from .models.flaubert import (
            FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlaubertForMultipleChoice,
            FlaubertForQuestionAnswering,
            FlaubertForQuestionAnsweringSimple,
            FlaubertForSequenceClassification,
            FlaubertForTokenClassification,
            FlaubertModel,
            FlaubertWithLMHeadModel,
        )
3927
3928
3929
3930
3931
3932
3933
3934
3935
3936
        from .models.flava import (
            FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
            FlavaForPreTraining,
            FlavaImageCodebook,
            FlavaImageModel,
            FlavaModel,
            FlavaMultimodalModel,
            FlavaPreTrainedModel,
            FlavaTextModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
3937
3938
3939
3940
3941
3942
3943
3944
3945
3946
3947
3948
3949
        from .models.fnet import (
            FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            FNetForMaskedLM,
            FNetForMultipleChoice,
            FNetForNextSentencePrediction,
            FNetForPreTraining,
            FNetForQuestionAnswering,
            FNetForSequenceClassification,
            FNetForTokenClassification,
            FNetLayer,
            FNetModel,
            FNetPreTrainedModel,
        )
3950
3951
3952
3953
3954
3955
3956
3957
3958
3959
3960
        from .models.fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel
        from .models.funnel import (
            FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            FunnelBaseModel,
            FunnelForMaskedLM,
            FunnelForMultipleChoice,
            FunnelForPreTraining,
            FunnelForQuestionAnswering,
            FunnelForSequenceClassification,
            FunnelForTokenClassification,
            FunnelModel,
3961
            FunnelPreTrainedModel,
3962
3963
            load_tf_weights_in_funnel,
        )
NielsRogge's avatar
NielsRogge committed
3964
3965
3966
3967
3968
3969
        from .models.glpn import (
            GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
            GLPNForDepthEstimation,
            GLPNModel,
            GLPNPreTrainedModel,
        )
3970
3971
3972
3973
        from .models.gpt2 import (
            GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPT2DoubleHeadsModel,
            GPT2ForSequenceClassification,
3974
            GPT2ForTokenClassification,
3975
3976
3977
3978
3979
            GPT2LMHeadModel,
            GPT2Model,
            GPT2PreTrainedModel,
            load_tf_weights_in_gpt2,
        )
Suraj Patil's avatar
Suraj Patil committed
3980
3981
3982
        from .models.gpt_neo import (
            GPT_NEO_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoForCausalLM,
3983
            GPTNeoForSequenceClassification,
Suraj Patil's avatar
Suraj Patil committed
3984
3985
3986
3987
            GPTNeoModel,
            GPTNeoPreTrainedModel,
            load_tf_weights_in_gpt_neo,
        )
3988
3989
3990
3991
3992
3993
3994
        from .models.gpt_neox import (
            GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTNeoXForCausalLM,
            GPTNeoXLayer,
            GPTNeoXModel,
            GPTNeoXPreTrainedModel,
        )
Stella Biderman's avatar
Stella Biderman committed
3995
3996
3997
        from .models.gptj import (
            GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST,
            GPTJForCausalLM,
3998
            GPTJForQuestionAnswering,
Stella Biderman's avatar
Stella Biderman committed
3999
4000
4001
4002
            GPTJForSequenceClassification,
            GPTJModel,
            GPTJPreTrainedModel,
        )
4003
4004
4005
4006
4007
4008
4009
        from .models.groupvit import (
            GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GroupViTModel,
            GroupViTPreTrainedModel,
            GroupViTTextModel,
            GroupViTVisionModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
4010
4011
4012
        from .models.hubert import (
            HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            HubertForCTC,
4013
            HubertForSequenceClassification,
Patrick von Platen's avatar
Patrick von Platen committed
4014
4015
4016
            HubertModel,
            HubertPreTrainedModel,
        )
Sehoon Kim's avatar
Sehoon Kim committed
4017
4018
4019
4020
4021
4022
4023
4024
        from .models.ibert import (
            IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            IBertForMaskedLM,
            IBertForMultipleChoice,
            IBertForQuestionAnswering,
            IBertForSequenceClassification,
            IBertForTokenClassification,
            IBertModel,
4025
            IBertPreTrainedModel,
Sehoon Kim's avatar
Sehoon Kim committed
4026
        )
NielsRogge's avatar
NielsRogge committed
4027
4028
        from .models.imagegpt import (
            IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
NielsRogge's avatar
NielsRogge committed
4029
            ImageGPTForCausalImageModeling,
NielsRogge's avatar
NielsRogge committed
4030
4031
4032
4033
4034
            ImageGPTForImageClassification,
            ImageGPTModel,
            ImageGPTPreTrainedModel,
            load_tf_weights_in_imagegpt,
        )
4035
4036
4037
        from .models.layoutlm import (
            LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMForMaskedLM,
4038
            LayoutLMForQuestionAnswering,
NielsRogge's avatar
NielsRogge committed
4039
            LayoutLMForSequenceClassification,
4040
4041
            LayoutLMForTokenClassification,
            LayoutLMModel,
4042
            LayoutLMPreTrainedModel,
4043
        )
4044
4045
4046
4047
4048
4049
4050
        from .models.layoutlmv2 import (
            LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv2ForQuestionAnswering,
            LayoutLMv2ForSequenceClassification,
            LayoutLMv2ForTokenClassification,
            LayoutLMv2Model,
            LayoutLMv2PreTrainedModel,
NielsRogge's avatar
NielsRogge committed
4051
4052
4053
4054
4055
4056
4057
4058
        )
        from .models.layoutlmv3 import (
            LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            LayoutLMv3ForQuestionAnswering,
            LayoutLMv3ForSequenceClassification,
            LayoutLMv3ForTokenClassification,
            LayoutLMv3Model,
            LayoutLMv3PreTrainedModel,
4059
        )
4060
4061
4062
4063
4064
4065
        from .models.led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
4066
            LEDPreTrainedModel,
4067
        )
4068
4069
4070
4071
4072
4073
4074
        from .models.levit import (
            LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            LevitForImageClassification,
            LevitForImageClassificationWithTeacher,
            LevitModel,
            LevitPreTrainedModel,
        )
4075
4076
4077
4078
4079
4080
4081
4082
        from .models.longformer import (
            LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongformerForMaskedLM,
            LongformerForMultipleChoice,
            LongformerForQuestionAnswering,
            LongformerForSequenceClassification,
            LongformerForTokenClassification,
            LongformerModel,
4083
            LongformerPreTrainedModel,
4084
4085
            LongformerSelfAttention,
        )
Daniel Stancl's avatar
Daniel Stancl committed
4086
4087
4088
4089
4090
4091
4092
        from .models.longt5 import (
            LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            LongT5EncoderModel,
            LongT5ForConditionalGeneration,
            LongT5Model,
            LongT5PreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4093
4094
4095
4096
4097
        from .models.luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
Ryokan RI's avatar
Ryokan RI committed
4098
            LukeForMaskedLM,
4099
4100
4101
4102
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
NielsRogge's avatar
NielsRogge committed
4103
4104
4105
            LukeModel,
            LukePreTrainedModel,
        )
4106
4107
4108
4109
4110
4111
4112
4113
4114
        from .models.lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )
4115
4116
4117
4118
4119
4120
        from .models.m2m_100 import (
            M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
            M2M100ForConditionalGeneration,
            M2M100Model,
            M2M100PreTrainedModel,
        )
4121
        from .models.marian import MarianForCausalLM, MarianModel, MarianMTModel
4122
4123
4124
4125
4126
4127
        from .models.maskformer import (
            MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            MaskFormerForInstanceSegmentation,
            MaskFormerModel,
            MaskFormerPreTrainedModel,
        )
4128
        from .models.mbart import (
4129
            MBartForCausalLM,
4130
4131
4132
4133
            MBartForConditionalGeneration,
            MBartForQuestionAnswering,
            MBartForSequenceClassification,
            MBartModel,
4134
            MBartPreTrainedModel,
4135
        )
Chan Woo Kim's avatar
Chan Woo Kim committed
4136
        from .models.mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel
4137
4138
4139
4140
4141
4142
4143
4144
4145
4146
4147
        from .models.megatron_bert import (
            MEGATRON_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MegatronBertForCausalLM,
            MegatronBertForMaskedLM,
            MegatronBertForMultipleChoice,
            MegatronBertForNextSentencePrediction,
            MegatronBertForPreTraining,
            MegatronBertForQuestionAnswering,
            MegatronBertForSequenceClassification,
            MegatronBertForTokenClassification,
            MegatronBertModel,
4148
            MegatronBertPreTrainedModel,
4149
        )
4150
4151
4152
4153
4154
4155
4156
4157
4158
4159
4160
4161
4162
4163
4164
        from .models.mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings
        from .models.mobilebert import (
            MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileBertForMaskedLM,
            MobileBertForMultipleChoice,
            MobileBertForNextSentencePrediction,
            MobileBertForPreTraining,
            MobileBertForQuestionAnswering,
            MobileBertForSequenceClassification,
            MobileBertForTokenClassification,
            MobileBertLayer,
            MobileBertModel,
            MobileBertPreTrainedModel,
            load_tf_weights_in_mobilebert,
        )
4165
4166
4167
4168
4169
4170
4171
        from .models.mobilevit import (
            MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            MobileViTForImageClassification,
            MobileViTForSemanticSegmentation,
            MobileViTModel,
            MobileViTPreTrainedModel,
        )
4172
4173
4174
4175
4176
4177
4178
4179
4180
4181
4182
4183
        from .models.mpnet import (
            MPNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            MPNetForMaskedLM,
            MPNetForMultipleChoice,
            MPNetForQuestionAnswering,
            MPNetForSequenceClassification,
            MPNetForTokenClassification,
            MPNetLayer,
            MPNetModel,
            MPNetPreTrainedModel,
        )
        from .models.mt5 import MT5EncoderModel, MT5ForConditionalGeneration, MT5Model
StevenTang1998's avatar
StevenTang1998 committed
4184
4185
4186
4187
4188
4189
4190
4191
4192
        from .models.mvp import (
            MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
            MvpForCausalLM,
            MvpForConditionalGeneration,
            MvpForQuestionAnswering,
            MvpForSequenceClassification,
            MvpModel,
            MvpPreTrainedModel,
        )
4193
4194
4195
4196
4197
4198
4199
4200
4201
4202
4203
4204
        from .models.nezha import (
            NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
            NezhaForMaskedLM,
            NezhaForMultipleChoice,
            NezhaForNextSentencePrediction,
            NezhaForPreTraining,
            NezhaForQuestionAnswering,
            NezhaForSequenceClassification,
            NezhaForTokenClassification,
            NezhaModel,
            NezhaPreTrainedModel,
        )
novice's avatar
novice committed
4205
4206
4207
4208
4209
4210
4211
4212
4213
4214
4215
        from .models.nystromformer import (
            NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            NystromformerForMaskedLM,
            NystromformerForMultipleChoice,
            NystromformerForQuestionAnswering,
            NystromformerForSequenceClassification,
            NystromformerForTokenClassification,
            NystromformerLayer,
            NystromformerModel,
            NystromformerPreTrainedModel,
        )
4216
4217
4218
4219
4220
4221
4222
4223
4224
        from .models.openai import (
            OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OpenAIGPTDoubleHeadsModel,
            OpenAIGPTForSequenceClassification,
            OpenAIGPTLMHeadModel,
            OpenAIGPTModel,
            OpenAIGPTPreTrainedModel,
            load_tf_weights_in_openai_gpt,
        )
4225
4226
4227
4228
4229
4230
4231
        from .models.opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )
4232
4233
4234
4235
4236
4237
4238
4239
        from .models.owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )
4240
4241
4242
4243
4244
4245
        from .models.pegasus import (
            PegasusForCausalLM,
            PegasusForConditionalGeneration,
            PegasusModel,
            PegasusPreTrainedModel,
        )
Jason Phang's avatar
Jason Phang committed
4246
4247
4248
4249
4250
4251
        from .models.pegasus_x import (
            PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
            PegasusXForConditionalGeneration,
            PegasusXModel,
            PegasusXPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4252
4253
4254
4255
4256
4257
4258
4259
4260
4261
4262
4263
4264
        from .models.perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4265
4266
4267
4268
4269
4270
4271
4272
        from .models.plbart import (
            PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
            PLBartForCausalLM,
            PLBartForConditionalGeneration,
            PLBartForSequenceClassification,
            PLBartModel,
            PLBartPreTrainedModel,
        )
Tanay Mehta's avatar
Tanay Mehta committed
4273
4274
4275
4276
4277
4278
        from .models.poolformer import (
            POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PoolFormerForImageClassification,
            PoolFormerModel,
            PoolFormerPreTrainedModel,
        )
4279
4280
4281
4282
4283
4284
4285
4286
4287
        from .models.prophetnet import (
            PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ProphetNetDecoder,
            ProphetNetEncoder,
            ProphetNetForCausalLM,
            ProphetNetForConditionalGeneration,
            ProphetNetModel,
            ProphetNetPreTrainedModel,
        )
4288
4289
4290
4291
4292
4293
4294
4295
4296
4297
4298
4299
4300
4301
        from .models.qdqbert import (
            QDQBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            QDQBertForMaskedLM,
            QDQBertForMultipleChoice,
            QDQBertForNextSentencePrediction,
            QDQBertForQuestionAnswering,
            QDQBertForSequenceClassification,
            QDQBertForTokenClassification,
            QDQBertLayer,
            QDQBertLMHeadModel,
            QDQBertModel,
            QDQBertPreTrainedModel,
            load_tf_weights_in_qdqbert,
        )
4302
        from .models.rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration
Li-Huai (Allan) Lin's avatar
Li-Huai (Allan) Lin committed
4303
4304
4305
4306
4307
4308
4309
4310
4311
4312
4313
        from .models.realm import (
            REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
            RealmEmbedder,
            RealmForOpenQA,
            RealmKnowledgeAugEncoder,
            RealmPreTrainedModel,
            RealmReader,
            RealmRetriever,
            RealmScorer,
            load_tf_weights_in_realm,
        )
4314
4315
4316
4317
4318
4319
4320
4321
4322
        from .models.reformer import (
            REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            ReformerAttention,
            ReformerForMaskedLM,
            ReformerForQuestionAnswering,
            ReformerForSequenceClassification,
            ReformerLayer,
            ReformerModel,
            ReformerModelWithLMHead,
4323
            ReformerPreTrainedModel,
4324
        )
Francesco Saverio Zuppichini's avatar
Francesco Saverio Zuppichini committed
4325
4326
4327
4328
4329
4330
        from .models.regnet import (
            REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            RegNetForImageClassification,
            RegNetModel,
            RegNetPreTrainedModel,
        )
4331
4332
4333
4334
4335
4336
4337
4338
4339
4340
4341
4342
4343
        from .models.rembert import (
            REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            RemBertForCausalLM,
            RemBertForMaskedLM,
            RemBertForMultipleChoice,
            RemBertForQuestionAnswering,
            RemBertForSequenceClassification,
            RemBertForTokenClassification,
            RemBertLayer,
            RemBertModel,
            RemBertPreTrainedModel,
            load_tf_weights_in_rembert,
        )
4344
4345
4346
4347
4348
4349
        from .models.resnet import (
            RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            ResNetForImageClassification,
            ResNetModel,
            ResNetPreTrainedModel,
        )
4350
4351
4352
4353
4354
4355
4356
4357
4358
4359
        from .models.retribert import RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST, RetriBertModel, RetriBertPreTrainedModel
        from .models.roberta import (
            ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            RobertaForCausalLM,
            RobertaForMaskedLM,
            RobertaForMultipleChoice,
            RobertaForQuestionAnswering,
            RobertaForSequenceClassification,
            RobertaForTokenClassification,
            RobertaModel,
4360
            RobertaPreTrainedModel,
4361
        )
4362
4363
4364
4365
4366
4367
4368
4369
4370
4371
4372
4373
4374
        from .models.roformer import (
            ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            RoFormerForCausalLM,
            RoFormerForMaskedLM,
            RoFormerForMultipleChoice,
            RoFormerForQuestionAnswering,
            RoFormerForSequenceClassification,
            RoFormerForTokenClassification,
            RoFormerLayer,
            RoFormerModel,
            RoFormerPreTrainedModel,
            load_tf_weights_in_roformer,
        )
NielsRogge's avatar
NielsRogge committed
4375
4376
4377
4378
4379
4380
4381
4382
4383
        from .models.segformer import (
            SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SegformerDecodeHead,
            SegformerForImageClassification,
            SegformerForSemanticSegmentation,
            SegformerLayer,
            SegformerModel,
            SegformerPreTrainedModel,
        )
4384
4385
4386
4387
4388
4389
4390
4391
4392
4393
4394
4395
4396
4397
        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,
        )
4398
        from .models.speech_encoder_decoder import SpeechEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
4399
4400
4401
4402
        from .models.speech_to_text import (
            SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            Speech2TextForConditionalGeneration,
            Speech2TextModel,
4403
            Speech2TextPreTrainedModel,
Suraj Patil's avatar
Suraj Patil committed
4404
        )
4405
        from .models.speech_to_text_2 import Speech2Text2ForCausalLM, Speech2Text2PreTrainedModel
Ori Ram's avatar
Ori Ram committed
4406
4407
        from .models.splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
4408
            SplinterForPreTraining,
Ori Ram's avatar
Ori Ram committed
4409
4410
4411
4412
4413
            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )
4414
4415
4416
4417
4418
4419
4420
4421
4422
4423
4424
        from .models.squeezebert import (
            SQUEEZEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            SqueezeBertForMaskedLM,
            SqueezeBertForMultipleChoice,
            SqueezeBertForQuestionAnswering,
            SqueezeBertForSequenceClassification,
            SqueezeBertForTokenClassification,
            SqueezeBertModel,
            SqueezeBertModule,
            SqueezeBertPreTrainedModel,
        )
novice's avatar
novice committed
4425
4426
4427
        from .models.swin import (
            SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            SwinForImageClassification,
NielsRogge's avatar
NielsRogge committed
4428
            SwinForMaskedImageModeling,
novice's avatar
novice committed
4429
4430
4431
            SwinModel,
            SwinPreTrainedModel,
        )
4432
4433
4434
4435
4436
4437
4438
        from .models.swinv2 import (
            SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
            Swinv2ForImageClassification,
            Swinv2ForMaskedImageModeling,
            Swinv2Model,
            Swinv2PreTrainedModel,
        )
4439
4440
4441
4442
4443
4444
4445
4446
        from .models.t5 import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            T5EncoderModel,
            T5ForConditionalGeneration,
            T5Model,
            T5PreTrainedModel,
            load_tf_weights_in_t5,
        )
Carl's avatar
Carl committed
4447
4448
4449
4450
4451
        from .models.trajectory_transformer import (
            TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TrajectoryTransformerModel,
            TrajectoryTransformerPreTrainedModel,
        )
4452
4453
4454
4455
4456
4457
4458
4459
4460
        from .models.transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )
4461
        from .models.trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel
4462
4463
4464
4465
4466
4467
4468
4469
4470
4471
        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,
4472
            UniSpeechSatForAudioFrameClassification,
4473
4474
4475
            UniSpeechSatForCTC,
            UniSpeechSatForPreTraining,
            UniSpeechSatForSequenceClassification,
4476
            UniSpeechSatForXVector,
4477
4478
4479
            UniSpeechSatModel,
            UniSpeechSatPreTrainedModel,
        )
4480
4481
4482
4483
4484
4485
        from .models.van import (
            VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
            VanForImageClassification,
            VanModel,
            VanPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4486
4487
4488
4489
4490
4491
4492
        from .models.videomae import (
            VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            VideoMAEForPreTraining,
            VideoMAEForVideoClassification,
            VideoMAEModel,
            VideoMAEPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4493
4494
4495
4496
4497
4498
        from .models.vilt import (
            VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViltForImageAndTextRetrieval,
            ViltForImagesAndTextClassification,
            ViltForMaskedLM,
            ViltForQuestionAnswering,
4499
            ViltForTokenClassification,
NielsRogge's avatar
NielsRogge committed
4500
4501
4502
4503
            ViltLayer,
            ViltModel,
            ViltPreTrainedModel,
        )
4504
        from .models.vision_encoder_decoder import VisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
4505
        from .models.vision_text_dual_encoder import VisionTextDualEncoderModel
4506
        from .models.visual_bert import (
Gunjan Chhablani's avatar
Gunjan Chhablani committed
4507
4508
4509
4510
4511
4512
4513
4514
4515
4516
            VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            VisualBertForMultipleChoice,
            VisualBertForPreTraining,
            VisualBertForQuestionAnswering,
            VisualBertForRegionToPhraseAlignment,
            VisualBertForVisualReasoning,
            VisualBertLayer,
            VisualBertModel,
            VisualBertPreTrainedModel,
        )
4517
4518
4519
        from .models.vit import (
            VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTForImageClassification,
NielsRogge's avatar
NielsRogge committed
4520
            ViTForMaskedImageModeling,
4521
4522
4523
            ViTModel,
            ViTPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4524
4525
4526
4527
4528
4529
4530
        from .models.vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )
Patrick von Platen's avatar
Patrick von Platen committed
4531
4532
        from .models.wav2vec2 import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
4533
            Wav2Vec2ForAudioFrameClassification,
4534
            Wav2Vec2ForCTC,
Patrick von Platen's avatar
Patrick von Platen committed
4535
            Wav2Vec2ForMaskedLM,
Anton Lozhkov's avatar
Anton Lozhkov committed
4536
            Wav2Vec2ForPreTraining,
4537
            Wav2Vec2ForSequenceClassification,
4538
            Wav2Vec2ForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
4539
4540
4541
            Wav2Vec2Model,
            Wav2Vec2PreTrainedModel,
        )
4542
4543
4544
4545
4546
4547
4548
4549
4550
4551
        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
4552
4553
        from .models.wavlm import (
            WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
4554
            WavLMForAudioFrameClassification,
Patrick von Platen's avatar
Patrick von Platen committed
4555
4556
            WavLMForCTC,
            WavLMForSequenceClassification,
4557
            WavLMForXVector,
Patrick von Platen's avatar
Patrick von Platen committed
4558
4559
4560
            WavLMModel,
            WavLMPreTrainedModel,
        )
NielsRogge's avatar
NielsRogge committed
4561
4562
4563
4564
4565
4566
4567
        from .models.x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )
Suraj Patil's avatar
Suraj Patil committed
4568
        from .models.xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel
4569
4570
4571
4572
4573
4574
4575
4576
4577
4578
4579
4580
4581
4582
4583
4584
4585
4586
4587
4588
4589
4590
4591
4592
4593
4594
4595
4596
4597
        from .models.xlm import (
            XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMForMultipleChoice,
            XLMForQuestionAnswering,
            XLMForQuestionAnsweringSimple,
            XLMForSequenceClassification,
            XLMForTokenClassification,
            XLMModel,
            XLMPreTrainedModel,
            XLMWithLMHeadModel,
        )
        from .models.xlm_prophetnet import (
            XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMProphetNetDecoder,
            XLMProphetNetEncoder,
            XLMProphetNetForCausalLM,
            XLMProphetNetForConditionalGeneration,
            XLMProphetNetModel,
        )
        from .models.xlm_roberta import (
            XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaForCausalLM,
            XLMRobertaForMaskedLM,
            XLMRobertaForMultipleChoice,
            XLMRobertaForQuestionAnswering,
            XLMRobertaForSequenceClassification,
            XLMRobertaForTokenClassification,
            XLMRobertaModel,
        )
4598
4599
4600
4601
4602
4603
4604
4605
4606
4607
4608
        from .models.xlm_roberta_xl import (
            XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLMRobertaXLForCausalLM,
            XLMRobertaXLForMaskedLM,
            XLMRobertaXLForMultipleChoice,
            XLMRobertaXLForQuestionAnswering,
            XLMRobertaXLForSequenceClassification,
            XLMRobertaXLForTokenClassification,
            XLMRobertaXLModel,
            XLMRobertaXLPreTrainedModel,
        )
4609
4610
4611
4612
4613
4614
4615
4616
4617
4618
4619
4620
        from .models.xlnet import (
            XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            XLNetForMultipleChoice,
            XLNetForQuestionAnswering,
            XLNetForQuestionAnsweringSimple,
            XLNetForSequenceClassification,
            XLNetForTokenClassification,
            XLNetLMHeadModel,
            XLNetModel,
            XLNetPreTrainedModel,
            load_tf_weights_in_xlnet,
        )
NielsRogge's avatar
NielsRogge committed
4621
4622
4623
4624
4625
4626
        from .models.yolos import (
            YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
            YolosForObjectDetection,
            YolosModel,
            YolosPreTrainedModel,
        )
novice's avatar
novice committed
4627
4628
4629
4630
4631
4632
4633
4634
4635
4636
4637
        from .models.yoso import (
            YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
            YosoForMaskedLM,
            YosoForMultipleChoice,
            YosoForQuestionAnswering,
            YosoForSequenceClassification,
            YosoForTokenClassification,
            YosoLayer,
            YosoModel,
            YosoPreTrainedModel,
        )
4638
4639
4640
4641
4642
4643
4644
4645
4646
4647
4648
4649
4650

        # Optimization
        from .optimization import (
            Adafactor,
            AdamW,
            get_constant_schedule,
            get_constant_schedule_with_warmup,
            get_cosine_schedule_with_warmup,
            get_cosine_with_hard_restarts_schedule_with_warmup,
            get_linear_schedule_with_warmup,
            get_polynomial_decay_schedule_with_warmup,
            get_scheduler,
        )
4651
        from .pytorch_utils import Conv1D, apply_chunking_to_forward, prune_layer
4652
4653
4654
4655
4656
4657
4658

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

    # TensorFlow
4659
4660
4661
4662
4663
4664
4665
4666
    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:
4667
4668
4669
4670
        from .benchmark.benchmark_args_tf import TensorFlowBenchmarkArguments

        # Benchmarks
        from .benchmark.benchmark_tf import TensorFlowBenchmark
4671
        from .generation_tf_logits_process import (
4672
4673
            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
4674
4675
            TFLogitsProcessor,
            TFLogitsProcessorList,
4676
            TFLogitsWarper,
4677
4678
4679
4680
            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
4681
4682
4683
            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
4684
        )
4685
        from .generation_tf_utils import tf_top_k_top_p_filtering
4686
        from .keras_callbacks import KerasMetricCallback, PushToHubCallback
Amir Tahmasbi's avatar
Amir Tahmasbi committed
4687
4688
4689
        from .modeling_tf_layoutlm import (
            TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMForMaskedLM,
4690
            TFLayoutLMForQuestionAnswering,
Amir Tahmasbi's avatar
Amir Tahmasbi committed
4691
4692
4693
4694
4695
4696
            TFLayoutLMForSequenceClassification,
            TFLayoutLMForTokenClassification,
            TFLayoutLMMainLayer,
            TFLayoutLMModel,
            TFLayoutLMPreTrainedModel,
        )
4697
        from .modeling_tf_utils import TFPreTrainedModel, TFSequenceSummary, TFSharedEmbeddings, shape_list
4698
4699

        # TensorFlow model imports
4700
4701
4702
4703
4704
4705
4706
4707
4708
4709
4710
4711
4712
4713
        from .models.albert import (
            TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAlbertForMaskedLM,
            TFAlbertForMultipleChoice,
            TFAlbertForPreTraining,
            TFAlbertForQuestionAnswering,
            TFAlbertForSequenceClassification,
            TFAlbertForTokenClassification,
            TFAlbertMainLayer,
            TFAlbertModel,
            TFAlbertPreTrainedModel,
        )
        from .models.auto import (
            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
4714
            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
Yih-Dar's avatar
Yih-Dar committed
4715
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
4716
            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
4717
4718
4719
4720
4721
            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,
4722
            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
4723
4724
            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
Joao Gante's avatar
Joao Gante committed
4725
            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
Kamal Raj's avatar
Kamal Raj committed
4726
            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
4727
            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
4728
            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
4729
4730
4731
4732
            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForCausalLM,
4733
            TFAutoModelForDocumentQuestionAnswering,
Yih-Dar's avatar
Yih-Dar committed
4734
            TFAutoModelForImageClassification,
4735
4736
            TFAutoModelForMaskedLM,
            TFAutoModelForMultipleChoice,
4737
            TFAutoModelForNextSentencePrediction,
4738
4739
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
4740
            TFAutoModelForSemanticSegmentation,
4741
4742
            TFAutoModelForSeq2SeqLM,
            TFAutoModelForSequenceClassification,
Joao Gante's avatar
Joao Gante committed
4743
            TFAutoModelForSpeechSeq2Seq,
Kamal Raj's avatar
Kamal Raj committed
4744
            TFAutoModelForTableQuestionAnswering,
4745
            TFAutoModelForTokenClassification,
4746
            TFAutoModelForVision2Seq,
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
4758
4759
4760
4761
4762
4763
4764
            TFAutoModelWithLMHead,
        )
        from .models.bart import TFBartForConditionalGeneration, TFBartModel, TFBartPretrainedModel
        from .models.bert import (
            TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFBertEmbeddings,
            TFBertForMaskedLM,
            TFBertForMultipleChoice,
            TFBertForNextSentencePrediction,
            TFBertForPreTraining,
            TFBertForQuestionAnswering,
            TFBertForSequenceClassification,
            TFBertForTokenClassification,
            TFBertLMHeadModel,
            TFBertMainLayer,
            TFBertModel,
            TFBertPreTrainedModel,
        )
4765
4766
4767
4768
4769
4770
4771
4772
4773
4774
        from .models.blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )
        from .models.blenderbot_small import (
            TFBlenderbotSmallForConditionalGeneration,
            TFBlenderbotSmallModel,
            TFBlenderbotSmallPreTrainedModel,
        )
4775
4776
        from .models.camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
4777
            TFCamembertForCausalLM,
4778
4779
4780
4781
4782
4783
4784
            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
        )
Yih-Dar's avatar
Yih-Dar committed
4785
4786
4787
4788
4789
4790
4791
        from .models.clip import (
            TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCLIPModel,
            TFCLIPPreTrainedModel,
            TFCLIPTextModel,
            TFCLIPVisionModel,
        )
abhishek thakur's avatar
abhishek thakur committed
4792
4793
4794
4795
4796
4797
4798
4799
4800
4801
4802
        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
4803
        from .models.convnext import TFConvNextForImageClassification, TFConvNextModel, TFConvNextPreTrainedModel
4804
4805
4806
4807
4808
4809
4810
        from .models.ctrl import (
            TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCTRLForSequenceClassification,
            TFCTRLLMHeadModel,
            TFCTRLModel,
            TFCTRLPreTrainedModel,
        )
4811
4812
        from .models.data2vec import (
            TFData2VecVisionForImageClassification,
4813
            TFData2VecVisionForSemanticSegmentation,
4814
4815
4816
            TFData2VecVisionModel,
            TFData2VecVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
4817
4818
4819
4820
4821
4822
4823
4824
4825
        from .models.deberta import (
            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaForMaskedLM,
            TFDebertaForQuestionAnswering,
            TFDebertaForSequenceClassification,
            TFDebertaForTokenClassification,
            TFDebertaModel,
            TFDebertaPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
4826
4827
4828
4829
4830
4831
4832
4833
4834
        from .models.deberta_v2 import (
            TF_DEBERTA_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDebertaV2ForMaskedLM,
            TFDebertaV2ForQuestionAnswering,
            TFDebertaV2ForSequenceClassification,
            TFDebertaV2ForTokenClassification,
            TFDebertaV2Model,
            TFDebertaV2PreTrainedModel,
        )
4835
4836
4837
4838
4839
4840
4841
4842
        from .models.deit import (
            TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDeiTForImageClassification,
            TFDeiTForImageClassificationWithTeacher,
            TFDeiTForMaskedImageModeling,
            TFDeiTModel,
            TFDeiTPreTrainedModel,
        )
4843
4844
4845
4846
4847
4848
4849
4850
4851
4852
4853
4854
4855
4856
4857
4858
4859
4860
4861
4862
4863
4864
4865
4866
4867
4868
4869
4870
4871
4872
4873
4874
4875
        from .models.distilbert import (
            TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDistilBertForMaskedLM,
            TFDistilBertForMultipleChoice,
            TFDistilBertForQuestionAnswering,
            TFDistilBertForSequenceClassification,
            TFDistilBertForTokenClassification,
            TFDistilBertMainLayer,
            TFDistilBertModel,
            TFDistilBertPreTrainedModel,
        )
        from .models.dpr import (
            TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFDPRContextEncoder,
            TFDPRPretrainedContextEncoder,
            TFDPRPretrainedQuestionEncoder,
            TFDPRPretrainedReader,
            TFDPRQuestionEncoder,
            TFDPRReader,
        )
        from .models.electra import (
            TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFElectraForMaskedLM,
            TFElectraForMultipleChoice,
            TFElectraForPreTraining,
            TFElectraForQuestionAnswering,
            TFElectraForSequenceClassification,
            TFElectraForTokenClassification,
            TFElectraModel,
            TFElectraPreTrainedModel,
        )
4876
        from .models.encoder_decoder import TFEncoderDecoderModel
4877
4878
4879
4880
4881
4882
4883
        from .models.flaubert import (
            TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFlaubertForMultipleChoice,
            TFFlaubertForQuestionAnsweringSimple,
            TFFlaubertForSequenceClassification,
            TFFlaubertForTokenClassification,
            TFFlaubertModel,
4884
            TFFlaubertPreTrainedModel,
4885
4886
4887
4888
4889
4890
4891
4892
4893
4894
4895
4896
            TFFlaubertWithLMHeadModel,
        )
        from .models.funnel import (
            TF_FUNNEL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFFunnelBaseModel,
            TFFunnelForMaskedLM,
            TFFunnelForMultipleChoice,
            TFFunnelForPreTraining,
            TFFunnelForQuestionAnswering,
            TFFunnelForSequenceClassification,
            TFFunnelForTokenClassification,
            TFFunnelModel,
4897
            TFFunnelPreTrainedModel,
4898
4899
4900
4901
4902
4903
4904
4905
4906
4907
        )
        from .models.gpt2 import (
            TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFGPT2DoubleHeadsModel,
            TFGPT2ForSequenceClassification,
            TFGPT2LMHeadModel,
            TFGPT2MainLayer,
            TFGPT2Model,
            TFGPT2PreTrainedModel,
        )
4908
4909
4910
4911
4912
4913
4914
        from .models.gptj import (
            TFGPTJForCausalLM,
            TFGPTJForQuestionAnswering,
            TFGPTJForSequenceClassification,
            TFGPTJModel,
            TFGPTJPreTrainedModel,
        )
Will Rice's avatar
Will Rice committed
4915
4916
4917
4918
4919
4920
        from .models.hubert import (
            TF_HUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFHubertForCTC,
            TFHubertModel,
            TFHubertPreTrainedModel,
        )
4921
4922
4923
4924
4925
4926
4927
4928
        from .models.layoutlmv3 import (
            TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLayoutLMv3ForQuestionAnswering,
            TFLayoutLMv3ForSequenceClassification,
            TFLayoutLMv3ForTokenClassification,
            TFLayoutLMv3Model,
            TFLayoutLMv3PreTrainedModel,
        )
4929
4930
4931
4932
4933
4934
4935
4936
4937
        from .models.led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel
        from .models.longformer import (
            TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLongformerForMaskedLM,
            TFLongformerForMultipleChoice,
            TFLongformerForQuestionAnswering,
            TFLongformerForSequenceClassification,
            TFLongformerForTokenClassification,
            TFLongformerModel,
4938
            TFLongformerPreTrainedModel,
4939
4940
4941
4942
4943
4944
4945
4946
4947
4948
            TFLongformerSelfAttention,
        )
        from .models.lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )
4949
4950
        from .models.marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
        from .models.mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel
4951
4952
        from .models.mobilebert import (
            TF_MOBILEBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
Sayak Paul's avatar
Sayak Paul committed
4953
            TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
4954
4955
4956
4957
4958
4959
4960
4961
4962
4963
            TFMobileBertForMaskedLM,
            TFMobileBertForMultipleChoice,
            TFMobileBertForNextSentencePrediction,
            TFMobileBertForPreTraining,
            TFMobileBertForQuestionAnswering,
            TFMobileBertForSequenceClassification,
            TFMobileBertForTokenClassification,
            TFMobileBertMainLayer,
            TFMobileBertModel,
            TFMobileBertPreTrainedModel,
Sayak Paul's avatar
Sayak Paul committed
4964
4965
4966
4967
            TFMobileViTForImageClassification,
            TFMobileViTForSemanticSegmentation,
            TFMobileViTModel,
            TFMobileViTPreTrainedModel,
4968
4969
4970
4971
4972
4973
4974
4975
4976
4977
4978
4979
4980
4981
4982
4983
4984
4985
4986
4987
4988
4989
        )
        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
4990
        from .models.opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel
4991
4992
        from .models.pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel
        from .models.rag import TFRagModel, TFRagPreTrainedModel, TFRagSequenceForGeneration, TFRagTokenForGeneration
4993
4994
4995
4996
4997
4998
        from .models.regnet import (
            TF_REGNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRegNetForImageClassification,
            TFRegNetModel,
            TFRegNetPreTrainedModel,
        )
4999
5000
5001
5002
5003
5004
5005
5006
5007
5008
5009
5010
        from .models.rembert import (
            TF_REMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRemBertForCausalLM,
            TFRemBertForMaskedLM,
            TFRemBertForMultipleChoice,
            TFRemBertForQuestionAnswering,
            TFRemBertForSequenceClassification,
            TFRemBertForTokenClassification,
            TFRemBertLayer,
            TFRemBertModel,
            TFRemBertPreTrainedModel,
        )
amyeroberts's avatar
amyeroberts committed
5011
5012
5013
5014
5015
5016
        from .models.resnet import (
            TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFResNetForImageClassification,
            TFResNetModel,
            TFResNetPreTrainedModel,
        )
5017
5018
        from .models.roberta import (
            TF_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
5019
            TFRobertaForCausalLM,
5020
5021
5022
5023
5024
5025
5026
5027
5028
            TFRobertaForMaskedLM,
            TFRobertaForMultipleChoice,
            TFRobertaForQuestionAnswering,
            TFRobertaForSequenceClassification,
            TFRobertaForTokenClassification,
            TFRobertaMainLayer,
            TFRobertaModel,
            TFRobertaPreTrainedModel,
        )
5029
5030
5031
5032
5033
5034
5035
5036
5037
5038
5039
5040
        from .models.roformer import (
            TF_ROFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFRoFormerForCausalLM,
            TFRoFormerForMaskedLM,
            TFRoFormerForMultipleChoice,
            TFRoFormerForQuestionAnswering,
            TFRoFormerForSequenceClassification,
            TFRoFormerForTokenClassification,
            TFRoFormerLayer,
            TFRoFormerModel,
            TFRoFormerPreTrainedModel,
        )
5041
5042
5043
5044
5045
5046
5047
5048
        from .models.segformer import (
            TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSegformerDecodeHead,
            TFSegformerForImageClassification,
            TFSegformerForSemanticSegmentation,
            TFSegformerModel,
            TFSegformerPreTrainedModel,
        )
Joao Gante's avatar
Joao Gante committed
5049
5050
5051
5052
5053
5054
        from .models.speech_to_text import (
            TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSpeech2TextForConditionalGeneration,
            TFSpeech2TextModel,
            TFSpeech2TextPreTrainedModel,
        )
5055
5056
5057
5058
5059
5060
5061
        from .models.swin import (
            TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFSwinForImageClassification,
            TFSwinForMaskedImageModeling,
            TFSwinModel,
            TFSwinPreTrainedModel,
        )
5062
5063
5064
5065
5066
5067
5068
        from .models.t5 import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFT5EncoderModel,
            TFT5ForConditionalGeneration,
            TFT5Model,
            TFT5PreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
5069
5070
5071
5072
5073
5074
5075
5076
        from .models.tapas import (
            TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTapasForMaskedLM,
            TFTapasForQuestionAnswering,
            TFTapasForSequenceClassification,
            TFTapasModel,
            TFTapasPreTrainedModel,
        )
5077
5078
5079
5080
5081
5082
5083
5084
5085
        from .models.transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )
5086
        from .models.vision_encoder_decoder import TFVisionEncoderDecoderModel
Yih-Dar's avatar
Yih-Dar committed
5087
        from .models.vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel
Sayak Paul's avatar
Sayak Paul committed
5088
        from .models.vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel
Will Rice's avatar
Will Rice committed
5089
5090
5091
5092
5093
5094
        from .models.wav2vec2 import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWav2Vec2ForCTC,
            TFWav2Vec2Model,
            TFWav2Vec2PreTrainedModel,
        )
5095
5096
5097
5098
5099
5100
        from .models.xglm import (
            TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXGLMForCausalLM,
            TFXGLMModel,
            TFXGLMPreTrainedModel,
        )
5101
5102
5103
5104
5105
5106
5107
5108
5109
5110
5111
5112
5113
5114
5115
5116
5117
5118
5119
5120
5121
5122
5123
5124
5125
5126
5127
5128
5129
5130
5131
5132
5133
5134
5135
5136
5137
5138
        from .models.xlm import (
            TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLMForMultipleChoice,
            TFXLMForQuestionAnsweringSimple,
            TFXLMForSequenceClassification,
            TFXLMForTokenClassification,
            TFXLMMainLayer,
            TFXLMModel,
            TFXLMPreTrainedModel,
            TFXLMWithLMHeadModel,
        )
        from .models.xlm_roberta import (
            TF_XLM_ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLMRobertaForMaskedLM,
            TFXLMRobertaForMultipleChoice,
            TFXLMRobertaForQuestionAnswering,
            TFXLMRobertaForSequenceClassification,
            TFXLMRobertaForTokenClassification,
            TFXLMRobertaModel,
        )
        from .models.xlnet import (
            TF_XLNET_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFXLNetForMultipleChoice,
            TFXLNetForQuestionAnsweringSimple,
            TFXLNetForSequenceClassification,
            TFXLNetForTokenClassification,
            TFXLNetLMHeadModel,
            TFXLNetMainLayer,
            TFXLNetModel,
            TFXLNetPreTrainedModel,
        )

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

        # Trainer
        from .trainer_tf import TFTrainer

5139
5140
5141
5142
    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
5143
5144
        # 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.
5145
5146
        from .utils.dummy_flax_objects import *
    else:
Patrick von Platen's avatar
Patrick von Platen committed
5147
        from .generation_flax_logits_process import (
5148
5149
            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
Patrick von Platen's avatar
Patrick von Platen committed
5150
5151
5152
            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
5153
            FlaxMinLengthLogitsProcessor,
Patrick von Platen's avatar
Patrick von Platen committed
5154
5155
5156
5157
            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
        )
5158
        from .modeling_flax_utils import FlaxPreTrainedModel
5159
5160

        # Flax model imports
Kamal Raj's avatar
Kamal Raj committed
5161
5162
5163
5164
5165
5166
5167
5168
5169
5170
        from .models.albert import (
            FlaxAlbertForMaskedLM,
            FlaxAlbertForMultipleChoice,
            FlaxAlbertForPreTraining,
            FlaxAlbertForQuestionAnswering,
            FlaxAlbertForSequenceClassification,
            FlaxAlbertForTokenClassification,
            FlaxAlbertModel,
            FlaxAlbertPreTrainedModel,
        )
5171
        from .models.auto import (
Suraj Patil's avatar
Suraj Patil committed
5172
            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
5173
            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
5174
5175
5176
5177
5178
            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,
5179
            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
5180
5181
            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
5182
            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
5183
5184
            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
Suraj Patil's avatar
Suraj Patil committed
5185
            FlaxAutoModelForCausalLM,
5186
            FlaxAutoModelForImageClassification,
5187
5188
5189
5190
5191
            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
5192
            FlaxAutoModelForSeq2SeqLM,
5193
5194
            FlaxAutoModelForSequenceClassification,
            FlaxAutoModelForTokenClassification,
5195
            FlaxAutoModelForVision2Seq,
5196
        )
Daniel Stancl's avatar
Daniel Stancl committed
5197
        from .models.bart import (
5198
5199
            FlaxBartDecoderPreTrainedModel,
            FlaxBartForCausalLM,
Daniel Stancl's avatar
Daniel Stancl committed
5200
5201
5202
5203
            FlaxBartForConditionalGeneration,
            FlaxBartForQuestionAnswering,
            FlaxBartForSequenceClassification,
            FlaxBartModel,
5204
            FlaxBartPreTrainedModel,
Daniel Stancl's avatar
Daniel Stancl committed
5205
        )
Kamal Raj's avatar
Kamal Raj committed
5206
5207
5208
5209
5210
5211
        from .models.beit import (
            FlaxBeitForImageClassification,
            FlaxBeitForMaskedImageModeling,
            FlaxBeitModel,
            FlaxBeitPreTrainedModel,
        )
5212
        from .models.bert import (
5213
            FlaxBertForCausalLM,
5214
5215
5216
5217
5218
5219
5220
5221
5222
5223
            FlaxBertForMaskedLM,
            FlaxBertForMultipleChoice,
            FlaxBertForNextSentencePrediction,
            FlaxBertForPreTraining,
            FlaxBertForQuestionAnswering,
            FlaxBertForSequenceClassification,
            FlaxBertForTokenClassification,
            FlaxBertModel,
            FlaxBertPreTrainedModel,
        )
Vasudev Gupta's avatar
Vasudev Gupta committed
5224
        from .models.big_bird import (
5225
            FlaxBigBirdForCausalLM,
Vasudev Gupta's avatar
Vasudev Gupta committed
5226
5227
5228
5229
5230
5231
5232
5233
5234
            FlaxBigBirdForMaskedLM,
            FlaxBigBirdForMultipleChoice,
            FlaxBigBirdForPreTraining,
            FlaxBigBirdForQuestionAnswering,
            FlaxBigBirdForSequenceClassification,
            FlaxBigBirdForTokenClassification,
            FlaxBigBirdModel,
            FlaxBigBirdPreTrainedModel,
        )
5235
5236
5237
5238
5239
        from .models.blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )
5240
5241
5242
5243
5244
        from .models.blenderbot_small import (
            FlaxBlenderbotSmallForConditionalGeneration,
            FlaxBlenderbotSmallModel,
            FlaxBlenderbotSmallPreTrainedModel,
        )
5245
5246
5247
5248
5249
5250
5251
5252
        from .models.clip import (
            FlaxCLIPModel,
            FlaxCLIPPreTrainedModel,
            FlaxCLIPTextModel,
            FlaxCLIPTextPreTrainedModel,
            FlaxCLIPVisionModel,
            FlaxCLIPVisionPreTrainedModel,
        )
Kamal Raj's avatar
Kamal Raj committed
5253
5254
5255
5256
5257
5258
5259
5260
5261
        from .models.distilbert import (
            FlaxDistilBertForMaskedLM,
            FlaxDistilBertForMultipleChoice,
            FlaxDistilBertForQuestionAnswering,
            FlaxDistilBertForSequenceClassification,
            FlaxDistilBertForTokenClassification,
            FlaxDistilBertModel,
            FlaxDistilBertPreTrainedModel,
        )
5262
        from .models.electra import (
5263
            FlaxElectraForCausalLM,
5264
5265
5266
5267
5268
5269
5270
5271
5272
            FlaxElectraForMaskedLM,
            FlaxElectraForMultipleChoice,
            FlaxElectraForPreTraining,
            FlaxElectraForQuestionAnswering,
            FlaxElectraForSequenceClassification,
            FlaxElectraForTokenClassification,
            FlaxElectraModel,
            FlaxElectraPreTrainedModel,
        )
5273
        from .models.encoder_decoder import FlaxEncoderDecoderModel
5274
        from .models.gpt2 import FlaxGPT2LMHeadModel, FlaxGPT2Model, FlaxGPT2PreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
5275
        from .models.gpt_neo import FlaxGPTNeoForCausalLM, FlaxGPTNeoModel, FlaxGPTNeoPreTrainedModel
Suraj Patil's avatar
Suraj Patil committed
5276
        from .models.gptj import FlaxGPTJForCausalLM, FlaxGPTJModel, FlaxGPTJPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
5277
        from .models.longt5 import FlaxLongT5ForConditionalGeneration, FlaxLongT5Model, FlaxLongT5PreTrainedModel
5278
        from .models.marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
Daniel Stancl's avatar
Daniel Stancl committed
5279
5280
5281
5282
5283
5284
5285
        from .models.mbart import (
            FlaxMBartForConditionalGeneration,
            FlaxMBartForQuestionAnswering,
            FlaxMBartForSequenceClassification,
            FlaxMBartModel,
            FlaxMBartPreTrainedModel,
        )
Crystina's avatar
Crystina committed
5286
        from .models.mt5 import FlaxMT5EncoderModel, FlaxMT5ForConditionalGeneration, FlaxMT5Model
Arthur's avatar
Arthur committed
5287
        from .models.opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel
5288
        from .models.pegasus import FlaxPegasusForConditionalGeneration, FlaxPegasusModel, FlaxPegasusPreTrainedModel
5289
        from .models.roberta import (
5290
            FlaxRobertaForCausalLM,
5291
5292
5293
5294
5295
5296
5297
5298
            FlaxRobertaForMaskedLM,
            FlaxRobertaForMultipleChoice,
            FlaxRobertaForQuestionAnswering,
            FlaxRobertaForSequenceClassification,
            FlaxRobertaForTokenClassification,
            FlaxRobertaModel,
            FlaxRobertaPreTrainedModel,
        )
Daniel Stancl's avatar
Daniel Stancl committed
5299
5300
5301
5302
5303
5304
5305
5306
5307
        from .models.roformer import (
            FlaxRoFormerForMaskedLM,
            FlaxRoFormerForMultipleChoice,
            FlaxRoFormerForQuestionAnswering,
            FlaxRoFormerForSequenceClassification,
            FlaxRoFormerForTokenClassification,
            FlaxRoFormerModel,
            FlaxRoFormerPreTrainedModel,
        )
5308
        from .models.speech_encoder_decoder import FlaxSpeechEncoderDecoderModel
Crystina's avatar
Crystina committed
5309
        from .models.t5 import FlaxT5EncoderModel, FlaxT5ForConditionalGeneration, FlaxT5Model, FlaxT5PreTrainedModel
5310
        from .models.vision_encoder_decoder import FlaxVisionEncoderDecoderModel
Suraj Patil's avatar
Suraj Patil committed
5311
        from .models.vision_text_dual_encoder import FlaxVisionTextDualEncoderModel
5312
        from .models.vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel
5313
5314
5315
5316
5317
5318
        from .models.wav2vec2 import (
            FlaxWav2Vec2ForCTC,
            FlaxWav2Vec2ForPreTraining,
            FlaxWav2Vec2Model,
            FlaxWav2Vec2PreTrainedModel,
        )
Suraj Patil's avatar
Suraj Patil committed
5319
        from .models.xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel
5320
5321
5322
5323
5324
5325
5326
5327
        from .models.xlm_roberta import (
            FlaxXLMRobertaForMaskedLM,
            FlaxXLMRobertaForMultipleChoice,
            FlaxXLMRobertaForQuestionAnswering,
            FlaxXLMRobertaForSequenceClassification,
            FlaxXLMRobertaForTokenClassification,
            FlaxXLMRobertaModel,
        )
5328

5329
else:
5330
5331
    import sys

Sylvain Gugger's avatar
Sylvain Gugger committed
5332
    sys.modules[__name__] = _LazyModule(
5333
5334
5335
5336
5337
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__,
        extra_objects={"__version__": __version__},
Sylvain Gugger's avatar
Sylvain Gugger committed
5338
    )
5339

5340

5341
if not is_tf_available() and not is_torch_available() and not is_flax_available():
5342
    logger.warning(
5343
        "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. "
5344
        "Models won't be available and only tokenizers, configuration "
5345
5346
        "and file/data utilities can be used."
    )