code: 
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_torch_available,
  )
  
  
  UpperCamelCase__				       =			{
      """auto_factory""": ["""get_values"""],
      """configuration_auto""": ["""ALL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CONFIG_MAPPING""", """MODEL_NAMES_MAPPING""", """AutoConfig"""],
      """feature_extraction_auto""": ["""FEATURE_EXTRACTOR_MAPPING""", """AutoFeatureExtractor"""],
      """image_processing_auto""": ["""IMAGE_PROCESSOR_MAPPING""", """AutoImageProcessor"""],
      """processing_auto""": ["""PROCESSOR_MAPPING""", """AutoProcessor"""],
      """tokenization_auto""": ["""TOKENIZER_MAPPING""", """AutoTokenizer"""],
  }
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         """MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_AUDIO_XVECTOR_MAPPING""",
         """MODEL_FOR_BACKBONE_MAPPING""",
         """MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING""",
         """MODEL_FOR_CAUSAL_LM_MAPPING""",
         """MODEL_FOR_CTC_MAPPING""",
         """MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING""",
         """MODEL_FOR_DEPTH_ESTIMATION_MAPPING""",
         """MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_IMAGE_SEGMENTATION_MAPPING""",
         """MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING""",
         """MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING""",
         """MODEL_FOR_MASKED_LM_MAPPING""",
         """MODEL_FOR_MASK_GENERATION_MAPPING""",
         """MODEL_FOR_MULTIPLE_CHOICE_MAPPING""",
         """MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING""",
         """MODEL_FOR_OBJECT_DETECTION_MAPPING""",
         """MODEL_FOR_PRETRAINING_MAPPING""",
         """MODEL_FOR_QUESTION_ANSWERING_MAPPING""",
         """MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING""",
         """MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
         """MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
         """MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING""",
         """MODEL_FOR_TEXT_ENCODING_MAPPING""",
         """MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING""",
         """MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_VISION_2_SEQ_MAPPING""",
         """MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING""",
         """MODEL_MAPPING""",
         """MODEL_WITH_LM_HEAD_MAPPING""",
         """MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING""",
         """MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING""",
         """AutoModel""",
         """AutoBackbone""",
         """AutoModelForAudioClassification""",
         """AutoModelForAudioFrameClassification""",
         """AutoModelForAudioXVector""",
         """AutoModelForCausalLM""",
         """AutoModelForCTC""",
         """AutoModelForDepthEstimation""",
         """AutoModelForImageClassification""",
         """AutoModelForImageSegmentation""",
         """AutoModelForInstanceSegmentation""",
         """AutoModelForMaskGeneration""",
         """AutoModelForTextEncoding""",
         """AutoModelForMaskedImageModeling""",
         """AutoModelForMaskedLM""",
         """AutoModelForMultipleChoice""",
         """AutoModelForNextSentencePrediction""",
         """AutoModelForObjectDetection""",
         """AutoModelForPreTraining""",
         """AutoModelForQuestionAnswering""",
         """AutoModelForSemanticSegmentation""",
         """AutoModelForSeq2SeqLM""",
         """AutoModelForSequenceClassification""",
         """AutoModelForSpeechSeq2Seq""",
         """AutoModelForTableQuestionAnswering""",
         """AutoModelForTokenClassification""",
         """AutoModelForUniversalSegmentation""",
         """AutoModelForVideoClassification""",
         """AutoModelForVision2Seq""",
         """AutoModelForVisualQuestionAnswering""",
         """AutoModelForDocumentQuestionAnswering""",
         """AutoModelWithLMHead""",
         """AutoModelForZeroShotImageClassification""",
         """AutoModelForZeroShotObjectDetection""",
     ]
  
  try:
     if not is_tf_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         """TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
         """TF_MODEL_FOR_CAUSAL_LM_MAPPING""",
         """TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
         """TF_MODEL_FOR_MASK_GENERATION_MAPPING""",
         """TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING""",
         """TF_MODEL_FOR_MASKED_LM_MAPPING""",
         """TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING""",
         """TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING""",
         """TF_MODEL_FOR_PRETRAINING_MAPPING""",
         """TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING""",
         """TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING""",
         """TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING""",
         """TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
         """TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
         """TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
         """TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING""",
         """TF_MODEL_FOR_TEXT_ENCODING_MAPPING""",
         """TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
         """TF_MODEL_FOR_VISION_2_SEQ_MAPPING""",
         """TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING""",
         """TF_MODEL_MAPPING""",
         """TF_MODEL_WITH_LM_HEAD_MAPPING""",
         """TFAutoModel""",
         """TFAutoModelForAudioClassification""",
         """TFAutoModelForCausalLM""",
         """TFAutoModelForImageClassification""",
         """TFAutoModelForMaskedImageModeling""",
         """TFAutoModelForMaskedLM""",
         """TFAutoModelForMaskGeneration""",
         """TFAutoModelForMultipleChoice""",
         """TFAutoModelForNextSentencePrediction""",
         """TFAutoModelForPreTraining""",
         """TFAutoModelForDocumentQuestionAnswering""",
         """TFAutoModelForQuestionAnswering""",
         """TFAutoModelForSemanticSegmentation""",
         """TFAutoModelForSeq2SeqLM""",
         """TFAutoModelForSequenceClassification""",
         """TFAutoModelForSpeechSeq2Seq""",
         """TFAutoModelForTableQuestionAnswering""",
         """TFAutoModelForTextEncoding""",
         """TFAutoModelForTokenClassification""",
         """TFAutoModelForVision2Seq""",
         """TFAutoModelForZeroShotImageClassification""",
         """TFAutoModelWithLMHead""",
     ]
  
  try:
     if not is_flax_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         """FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING""",
         """FLAX_MODEL_FOR_CAUSAL_LM_MAPPING""",
         """FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING""",
         """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""",
         """FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING""",
         """FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING""",
         """FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING""",
         """FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING""",
         """FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING""",
         """FLAX_MODEL_MAPPING""",
         """FlaxAutoModel""",
         """FlaxAutoModelForCausalLM""",
         """FlaxAutoModelForImageClassification""",
         """FlaxAutoModelForMaskedLM""",
         """FlaxAutoModelForMultipleChoice""",
         """FlaxAutoModelForNextSentencePrediction""",
         """FlaxAutoModelForPreTraining""",
         """FlaxAutoModelForQuestionAnswering""",
         """FlaxAutoModelForSeq2SeqLM""",
         """FlaxAutoModelForSequenceClassification""",
         """FlaxAutoModelForSpeechSeq2Seq""",
         """FlaxAutoModelForTokenClassification""",
         """FlaxAutoModelForVision2Seq""",
     ]
  
  
  if TYPE_CHECKING:
     from .auto_factory import get_values
     from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, MODEL_NAMES_MAPPING, AutoConfig
     from .feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING, AutoFeatureExtractor
     from .image_processing_auto import IMAGE_PROCESSOR_MAPPING, AutoImageProcessor
     from .processing_auto import PROCESSOR_MAPPING, AutoProcessor
     from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_auto import (
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING,
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
            MODEL_FOR_BACKBONE_MAPPING,
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
            MODEL_FOR_CAUSAL_LM_MAPPING,
            MODEL_FOR_CTC_MAPPING,
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
            MODEL_FOR_MASK_GENERATION_MAPPING,
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_TEXT_ENCODING_MAPPING,
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
            MODEL_FOR_VISION_2_SEQ_MAPPING,
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
            AutoBackbone,
            AutoModel,
            AutoModelForAudioClassification,
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
            AutoModelForCausalLM,
            AutoModelForCTC,
            AutoModelForDepthEstimation,
            AutoModelForDocumentQuestionAnswering,
            AutoModelForImageClassification,
            AutoModelForImageSegmentation,
            AutoModelForInstanceSegmentation,
            AutoModelForMaskedImageModeling,
            AutoModelForMaskedLM,
            AutoModelForMaskGeneration,
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
            AutoModelForObjectDetection,
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
            AutoModelForSemanticSegmentation,
            AutoModelForSeqaSeqLM,
            AutoModelForSequenceClassification,
            AutoModelForSpeechSeqaSeq,
            AutoModelForTableQuestionAnswering,
            AutoModelForTextEncoding,
            AutoModelForTokenClassification,
            AutoModelForUniversalSegmentation,
            AutoModelForVideoClassification,
            AutoModelForVisionaSeq,
            AutoModelForVisualQuestionAnswering,
            AutoModelForZeroShotImageClassification,
            AutoModelForZeroShotObjectDetection,
            AutoModelWithLMHead,
        )
  
     try:
        if not is_tf_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_tf_auto import (
            TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_MASK_GENERATION_MAPPING,
            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
            TF_MODEL_FOR_MASKED_LM_MAPPING,
            TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            TF_MODEL_FOR_PRETRAINING_MAPPING,
            TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_TEXT_ENCODING_MAPPING,
            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
            TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForAudioClassification,
            TFAutoModelForCausalLM,
            TFAutoModelForDocumentQuestionAnswering,
            TFAutoModelForImageClassification,
            TFAutoModelForMaskedImageModeling,
            TFAutoModelForMaskedLM,
            TFAutoModelForMaskGeneration,
            TFAutoModelForMultipleChoice,
            TFAutoModelForNextSentencePrediction,
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
            TFAutoModelForSemanticSegmentation,
            TFAutoModelForSeqaSeqLM,
            TFAutoModelForSequenceClassification,
            TFAutoModelForSpeechSeqaSeq,
            TFAutoModelForTableQuestionAnswering,
            TFAutoModelForTextEncoding,
            TFAutoModelForTokenClassification,
            TFAutoModelForVisionaSeq,
            TFAutoModelForZeroShotImageClassification,
            TFAutoModelWithLMHead,
        )
  
     try:
        if not is_flax_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_flax_auto import (
            FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            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,
            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
            FlaxAutoModelForCausalLM,
            FlaxAutoModelForImageClassification,
            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
            FlaxAutoModelForSeqaSeqLM,
            FlaxAutoModelForSequenceClassification,
            FlaxAutoModelForSpeechSeqaSeq,
            FlaxAutoModelForTokenClassification,
            FlaxAutoModelForVisionaSeq,
        )
  
  else:
     import sys
  
     UpperCamelCase__				       =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  UpperCamelCase__				       =			{
      'configuration_wav2vec2_conformer': [
          'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'Wav2Vec2ConformerConfig',
      ],
  }
  
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'Wav2Vec2ConformerForAudioFrameClassification',
         'Wav2Vec2ConformerForCTC',
         'Wav2Vec2ConformerForPreTraining',
         'Wav2Vec2ConformerForSequenceClassification',
         'Wav2Vec2ConformerForXVector',
         'Wav2Vec2ConformerModel',
         'Wav2Vec2ConformerPreTrainedModel',
     ]
  
  if TYPE_CHECKING:
     from .configuration_wavaveca_conformer import (
         WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         WavaVecaConformerConfig,
     )
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_wavaveca_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            WavaVecaConformerForAudioFrameClassification,
            WavaVecaConformerForCTC,
            WavaVecaConformerForPreTraining,
            WavaVecaConformerForSequenceClassification,
            WavaVecaConformerForXVector,
            WavaVecaConformerModel,
            WavaVecaConformerPreTrainedModel,
        )
  
  else:
     import sys
  
     UpperCamelCase__				       =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)