


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowerCamelCase   	=  {
    '''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:
       __lowerCamelCase   	=  [
           '''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:
       __lowerCamelCase   	=  [
           '''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:
       __lowerCamelCase   	=  [
           '''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

       __lowerCamelCase   	=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







# Copyright 2023 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.
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


__lowerCamelCase   	=  {
    '''configuration_tvlt''': ['''TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TvltConfig'''],
    '''feature_extraction_tvlt''': ['''TvltFeatureExtractor'''],
    '''processing_tvlt''': ['''TvltProcessor'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase   	=  [
           '''TVLT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TvltModel''',
           '''TvltForPreTraining''',
           '''TvltForAudioVisualClassification''',
           '''TvltPreTrainedModel''',
       ]

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase   	=  ['''TvltImageProcessor''']


if TYPE_CHECKING:
       from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
       from .processing_tvlt import TvltProcessor
       from .feature_extraction_tvlt import TvltFeatureExtractor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tvlt import (
                  TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TvltForAudioVisualClassification,
                  TvltForPreTraining,
                  TvltModel,
                  TvltPreTrainedModel,
              )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_tvlt import TvltImageProcessor


else:
       import sys

       __lowerCamelCase   	=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



