





from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__       :			Optional[Any]			      =						{
    """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:
  SCREAMING_SNAKE_CASE__       :			Any			      =						[
      """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:
  SCREAMING_SNAKE_CASE__       :			List[Any]			      =						[
      """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:
  SCREAMING_SNAKE_CASE__       :			Optional[Any]			      =						[
      """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

  SCREAMING_SNAKE_CASE__       :			Any			      =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__       :			List[str]			      =						{"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE__       :			Optional[int]			      =						[
      """VAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """VanForImageClassification""",
      """VanModel""",
      """VanPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_van import (
        VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
        VanForImageClassification,
        VanModel,
        VanPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE__       :			List[str]			      =						_LazyModule(__name__, globals()["""__file__"""], _import_structure)

