code: 
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A   :     str      =			logging.get_logger(__name__)
  
  __A   :     Tuple      =			{
      '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
      '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
      '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
      '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
      '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
      '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
  }
  
  
  
  
  
  
  class    __A				(							lowercase__ ):
      lowerCAmelCase_							:		Tuple						=							"""opt"""
      lowerCAmelCase_							:		List[Any]						=							["""past_key_values"""]
  
  
  
  
  
  
      def __init__(	self			:    Union[str, Any]    ,				UpperCAmelCase_			:    Dict=50272    ,				UpperCAmelCase_			:    List[Any]=768    ,				UpperCAmelCase_			:    Union[str, Any]=12    ,				UpperCAmelCase_			:    Optional[Any]=3072    ,				UpperCAmelCase_			:    List[Any]=2048    ,				UpperCAmelCase_			:    List[str]=True    ,				UpperCAmelCase_			:    List[Any]=False    ,				UpperCAmelCase_			:    Optional[int]=None    ,				UpperCAmelCase_			:    List[Any]=0.1    ,				UpperCAmelCase_			:    List[Any]=0.0    ,				UpperCAmelCase_			:    Optional[int]=12    ,				UpperCAmelCase_			:    List[str]="relu"    ,				UpperCAmelCase_			:    Union[str, Any]=0.0    ,				UpperCAmelCase_			:    List[Any]=0.02    ,				UpperCAmelCase_			:    List[Any]=True    ,				UpperCAmelCase_			:    Union[str, Any]=1    ,				UpperCAmelCase_			:    Optional[Any]=2    ,				UpperCAmelCase_			:    List[str]=2    ,				UpperCAmelCase_			:    Tuple=True    ,				UpperCAmelCase_			:    Optional[Any]=True    ,				**UpperCAmelCase_			:    Tuple    ,				)     ->   List[str]:
          super().__init__(
              pad_token_id=_A    ,				bos_token_id=_A    ,				eos_token_id=_A    ,				**_A    ,				)
          lowerCAmelCase				:			Union[str, Any]    			=      vocab_size
          lowerCAmelCase				:			Optional[Any]    			=      max_position_embeddings
          lowerCAmelCase				:			Tuple    			=      num_attention_heads
          lowerCAmelCase				:			Optional[Any]    			=      word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
          lowerCAmelCase				:			List[Any]    			=      ffn_dim
          lowerCAmelCase				:			List[Any]    			=      hidden_size
          lowerCAmelCase				:			int    			=      num_hidden_layers
          lowerCAmelCase				:			Any    			=      dropout
          lowerCAmelCase				:			List[Any]    			=      attention_dropout
          lowerCAmelCase				:			Any    			=      activation_function
          lowerCAmelCase				:			List[Any]    			=      init_std
          lowerCAmelCase				:			List[Any]    			=      layerdrop
          lowerCAmelCase				:			Tuple    			=      use_cache
          lowerCAmelCase				:			Union[str, Any]    			=      do_layer_norm_before
          # We keep these variables at `True` for backward compatibility.
          lowerCAmelCase				:			List[str]    			=      enable_bias
          lowerCAmelCase				:			Optional[int]    			=      layer_norm_elementwise_affine
  
          # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
          # with checkpoints that have been fine-tuned before transformers v4.20.1
          # see https://github.com/facebookresearch/metaseq/pull/164
          lowerCAmelCase				:			str    			=      _remove_final_layer_norm
  
  
  
  
  
  
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__)
  
  
  
  
  
  