




"""simple docstring"""


from typing import TYPE_CHECKING

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


_A													=      {"""configuration_unispeech""": ["""UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP""", """UniSpeechConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _A													=      [
      """UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """UniSpeechForCTC""",
      """UniSpeechForPreTraining""",
      """UniSpeechForSequenceClassification""",
      """UniSpeechModel""",
      """UniSpeechPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_unispeech import (
        UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
        UniSpeechForCTC,
        UniSpeechForPreTraining,
        UniSpeechForSequenceClassification,
        UniSpeechModel,
        UniSpeechPreTrainedModel,
    )

else:
  import sys

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











"""simple docstring"""


from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def 	lowercase_				(			__UpperCAmelCase				)						->    List[str]:
      return DownloadCommand(args.model    ,		args.cache_dir    ,		args.force    ,		args.trust_remote_code				)


class _lowerCamelCase    (					a_						):






   @staticmethod
   def 	_lowerCAmelCase   (		UpperCamelCase       :		ArgumentParser   )			->						List[Any]:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	parser.add_parser("""download"""   )
         download_parser.add_argument(
             """--cache-dir"""   ,     type=UpperCamelCase   ,     default=UpperCamelCase   ,     help="""Path to location to store the models"""   )
         download_parser.add_argument(
             """--force"""   ,     action="""store_true"""   ,     help="""Force the model to be download even if already in cache-dir"""   )
         download_parser.add_argument(
             """--trust-remote-code"""   ,     action="""store_true"""   ,     help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"""   ,     )
         download_parser.add_argument("""model"""   ,     type=UpperCamelCase   ,     help="""Name of the model to download"""   )
         download_parser.set_defaults(func=UpperCamelCase   )






   def __init__(		self       :		Optional[int]   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		str   ,     UpperCamelCase       :		bool   ,     UpperCamelCase       :		bool   )			->						Any:

         """simple docstring"""
         lowerCAmelCase__      :			int   =	model
         lowerCAmelCase__      :			Union[str, Any]   =	cache
         lowerCAmelCase__      :			Optional[int]   =	force
         lowerCAmelCase__      :			Dict   =	trust_remote_code






   def 	_lowerCAmelCase   (		self       :		int   )			->						Any:

         """simple docstring"""
         from ..models.auto import AutoModel, AutoTokenizer

         AutoModel.from_pretrained(
             self._model   ,     cache_dir=self._cache   ,     force_download=self._force   ,     trust_remote_code=self._trust_remote_code   )
         AutoTokenizer.from_pretrained(
             self._model   ,     cache_dir=self._cache   ,     force_download=self._force   ,     trust_remote_code=self._trust_remote_code   )





