


"""simple docstring"""







from typing import TYPE_CHECKING

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


__lowercase    =				{
    """configuration_wav2vec2""": ["""WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Wav2Vec2Config"""],
    """feature_extraction_wav2vec2""": ["""Wav2Vec2FeatureExtractor"""],
    """processing_wav2vec2""": ["""Wav2Vec2Processor"""],
    """tokenization_wav2vec2""": ["""Wav2Vec2CTCTokenizer""", """Wav2Vec2Tokenizer"""],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    =				[
     """WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """Wav2Vec2ForAudioFrameClassification""",
     """Wav2Vec2ForCTC""",
     """Wav2Vec2ForMaskedLM""",
     """Wav2Vec2ForPreTraining""",
     """Wav2Vec2ForSequenceClassification""",
     """Wav2Vec2ForXVector""",
     """Wav2Vec2Model""",
     """Wav2Vec2PreTrainedModel""",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    =				[
     """TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """TFWav2Vec2ForCTC""",
     """TFWav2Vec2Model""",
     """TFWav2Vec2PreTrainedModel""",
     """TFWav2Vec2ForSequenceClassification""",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    =				[
     """FlaxWav2Vec2ForCTC""",
     """FlaxWav2Vec2ForPreTraining""",
     """FlaxWav2Vec2Model""",
     """FlaxWav2Vec2PreTrainedModel""",
 ]


if TYPE_CHECKING:
 from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
 from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
 from .processing_wavaveca import WavaVecaProcessor
 from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_wavaveca import (
      WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
      WavaVecaForAudioFrameClassification,
      WavaVecaForCTC,
      WavaVecaForMaskedLM,
      WavaVecaForPreTraining,
      WavaVecaForSequenceClassification,
      WavaVecaForXVector,
      WavaVecaModel,
      WavaVecaPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_wavaveca import (
      TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFWavaVecaForCTC,
      TFWavaVecaForSequenceClassification,
      TFWavaVecaModel,
      TFWavaVecaPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_wavaveca import (
      FlaxWavaVecaForCTC,
      FlaxWavaVecaForPreTraining,
      FlaxWavaVecaModel,
      FlaxWavaVecaPreTrainedModel,
  )


else:
 import sys

 __lowercase    =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowercase    =				{
    """configuration_instructblip""": [
        """INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """InstructBlipConfig""",
        """InstructBlipQFormerConfig""",
        """InstructBlipVisionConfig""",
    ],
    """processing_instructblip""": ["""InstructBlipProcessor"""],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowercase    =				[
     """INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """InstructBlipQFormerModel""",
     """InstructBlipPreTrainedModel""",
     """InstructBlipForConditionalGeneration""",
     """InstructBlipVisionModel""",
 ]

if TYPE_CHECKING:
 from .configuration_instructblip import (
     INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
     InstructBlipConfig,
     InstructBlipQFormerConfig,
     InstructBlipVisionConfig,
 )
 from .processing_instructblip import InstructBlipProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_instructblip import (
      INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
      InstructBlipForConditionalGeneration,
      InstructBlipPreTrainedModel,
      InstructBlipQFormerModel,
      InstructBlipVisionModel,
  )

else:
 import sys

 __lowercase    =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






