

from typing import TYPE_CHECKING

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


__A   :     Optional[Any]      =			{
    '''configuration_switch_transformers''': [
        '''SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SwitchTransformersConfig''',
        '''SwitchTransformersOnnxConfig''',
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A   :     int      =			[
     '''SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''SwitchTransformersEncoderModel''',
     '''SwitchTransformersForConditionalGeneration''',
     '''SwitchTransformersModel''',
     '''SwitchTransformersPreTrainedModel''',
     '''SwitchTransformersTop1Router''',
     '''SwitchTransformersSparseMLP''',
 ]


if TYPE_CHECKING:
 from .configuration_switch_transformers import (
     SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
     SwitchTransformersConfig,
     SwitchTransformersOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_switch_transformers import (
      SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
      SwitchTransformersEncoderModel,
      SwitchTransformersForConditionalGeneration,
      SwitchTransformersModel,
      SwitchTransformersPreTrainedModel,
      SwitchTransformersSparseMLP,
      SwitchTransformersTopaRouter,
  )


else:
 import sys

 __A   :     Union[str, Any]      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








__A   :     List[Any]      =			'''
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

__A   :     Dict      =			[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
__A   :     Tuple      =			{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}





