



'''simple docstring'''






from typing import TYPE_CHECKING

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


A_							: Tuple						 =	{
    '''configuration_distilbert''': [
        '''DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''DistilBertConfig''',
        '''DistilBertOnnxConfig''',
    ],
    '''tokenization_distilbert''': ['''DistilBertTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							: Tuple						 =	['''DistilBertTokenizerFast''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							: List[str]						 =	[
       '''DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''DistilBertForMaskedLM''',
       '''DistilBertForMultipleChoice''',
       '''DistilBertForQuestionAnswering''',
       '''DistilBertForSequenceClassification''',
       '''DistilBertForTokenClassification''',
       '''DistilBertModel''',
       '''DistilBertPreTrainedModel''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							: Union[str, Any]						 =	[
       '''TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFDistilBertForMaskedLM''',
       '''TFDistilBertForMultipleChoice''',
       '''TFDistilBertForQuestionAnswering''',
       '''TFDistilBertForSequenceClassification''',
       '''TFDistilBertForTokenClassification''',
       '''TFDistilBertMainLayer''',
       '''TFDistilBertModel''',
       '''TFDistilBertPreTrainedModel''',
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A_							: List[str]						 =	[
       '''FlaxDistilBertForMaskedLM''',
       '''FlaxDistilBertForMultipleChoice''',
       '''FlaxDistilBertForQuestionAnswering''',
       '''FlaxDistilBertForSequenceClassification''',
       '''FlaxDistilBertForTokenClassification''',
       '''FlaxDistilBertModel''',
       '''FlaxDistilBertPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_distilbert import (
       DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
       DistilBertConfig,
       DistilBertOnnxConfig,
   )
   from .tokenization_distilbert import DistilBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_distilbert_fast import DistilBertTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_distilbert import (
          DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          DistilBertForMaskedLM,
          DistilBertForMultipleChoice,
          DistilBertForQuestionAnswering,
          DistilBertForSequenceClassification,
          DistilBertForTokenClassification,
          DistilBertModel,
          DistilBertPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_distilbert import (
          TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFDistilBertForMaskedLM,
          TFDistilBertForMultipleChoice,
          TFDistilBertForQuestionAnswering,
          TFDistilBertForSequenceClassification,
          TFDistilBertForTokenClassification,
          TFDistilBertMainLayer,
          TFDistilBertModel,
          TFDistilBertPreTrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_distilbert import (
          FlaxDistilBertForMaskedLM,
          FlaxDistilBertForMultipleChoice,
          FlaxDistilBertForQuestionAnswering,
          FlaxDistilBertForSequenceClassification,
          FlaxDistilBertForTokenClassification,
          FlaxDistilBertModel,
          FlaxDistilBertPreTrainedModel,
      )

else:
   import sys

   A_							: List[str]						 =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)











# flake8: noqa
# Lint as: python3
lowerCamelCase       :       Optional[Any]        =				[
    '''VerificationMode''',
    '''Version''',
    '''disable_progress_bar''',
    '''enable_progress_bar''',
    '''is_progress_bar_enabled''',
    '''experimental''',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental