code: 
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A   :     Optional[Any]      =			logging.get_logger(__name__)
  
  __A   :     Optional[Any]      =			{
      '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
      # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
  }
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase ):
      lowerCAmelCase_							:		Tuple						=							"qdqbert"
  
  
  
  
  
  
      def __init__(	self			:    Any    ,				UpperCAmelCase_			:    Optional[Any]=30522    ,				UpperCAmelCase_			:    Optional[Any]=768    ,				UpperCAmelCase_			:    Optional[Any]=12    ,				UpperCAmelCase_			:    Union[str, Any]=12    ,				UpperCAmelCase_			:    Tuple=3072    ,				UpperCAmelCase_			:    Union[str, Any]="gelu"    ,				UpperCAmelCase_			:    List[str]=0.1    ,				UpperCAmelCase_			:    int=0.1    ,				UpperCAmelCase_			:    Optional[int]=512    ,				UpperCAmelCase_			:    List[Any]=2    ,				UpperCAmelCase_			:    List[Any]=0.02    ,				UpperCAmelCase_			:    str=1E-12    ,				UpperCAmelCase_			:    List[Any]=True    ,				UpperCAmelCase_			:    int=1    ,				UpperCAmelCase_			:    Optional[Any]=0    ,				UpperCAmelCase_			:    str=2    ,				**UpperCAmelCase_			:    List[Any]    ,				)     ->   int:
          super().__init__(pad_token_id=UpperCAmelCase_    ,				bos_token_id=UpperCAmelCase_    ,				eos_token_id=UpperCAmelCase_    ,				**UpperCAmelCase_    )
  
          lowerCAmelCase				:			Dict    			=      vocab_size
          lowerCAmelCase				:			Optional[int]    			=      max_position_embeddings
          lowerCAmelCase				:			Dict    			=      hidden_size
          lowerCAmelCase				:			Union[str, Any]    			=      num_hidden_layers
          lowerCAmelCase				:			Dict    			=      num_attention_heads
          lowerCAmelCase				:			Any    			=      intermediate_size
          lowerCAmelCase				:			Optional[Any]    			=      hidden_act
          lowerCAmelCase				:			Union[str, Any]    			=      hidden_dropout_prob
          lowerCAmelCase				:			int    			=      attention_probs_dropout_prob
          lowerCAmelCase				:			int    			=      initializer_range
          lowerCAmelCase				:			Tuple    			=      type_vocab_size
          lowerCAmelCase				:			List[str]    			=      layer_norm_eps
          lowerCAmelCase				:			Any    			=      use_cache
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available
  
  
  __A   :     Dict      =			{}
  
  try:
   if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[Any]      =			['''BarthezTokenizer''']
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[str]      =			['''BarthezTokenizerFast''']
  
  
  if TYPE_CHECKING:
   try:
    if not is_sentencepiece_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez import BarthezTokenizer
  
   try:
    if not is_tokenizers_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez_fast import BarthezTokenizerFast
  
  else:
   import sys
  
   __A   :     Tuple      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  