
_lowerCamelCase       :				Any       =			"""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowerCamelCase       :				Union[str, Any]       =			[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowerCamelCase       :				Tuple       =			{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}







"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_   : Optional[int]   			= logging.get_logger(__name__)

UpperCAmelCase_   : Any   			= {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      __UpperCamelCase	 =  "openai-gpt"
      __UpperCamelCase	 =  {
          "max_position_embeddings": "n_positions",
          "hidden_size": "n_embd",
          "num_attention_heads": "n_head",
          "num_hidden_layers": "n_layer",
      }
      def __init__(						self     :  List[str]						,	lowercase_     :  List[str]=40478						,	lowercase_     :  List[str]=512						,	lowercase_     :  Optional[Any]=768						,	lowercase_     :  Tuple=12						,	lowercase_     :  Tuple=12						,	lowercase_     :  Union[str, Any]="gelu"						,	lowercase_     :  List[Any]=0.1						,	lowercase_     :  Tuple=0.1						,	lowercase_     :  List[Any]=0.1						,	lowercase_     :  List[Any]=1e-5						,	lowercase_     :  int=0.02						,	lowercase_     :  Optional[int]="cls_index"						,	lowercase_     :  Any=True						,	lowercase_     :  List[Any]=None						,	lowercase_     :  List[str]=True						,	lowercase_     :  Optional[Any]=0.1						,	**lowercase_     :  List[str]						,	):




          '''simple docstring'''


          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		vocab_size
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		n_positions
          SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		n_embd
          SCREAMING_SNAKE_CASE_      :  Dict    						=		n_layer
          SCREAMING_SNAKE_CASE_      :  Any    						=		n_head
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		afn
          SCREAMING_SNAKE_CASE_      :  int    						=		resid_pdrop
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		embd_pdrop
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		attn_pdrop
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		layer_norm_epsilon
          SCREAMING_SNAKE_CASE_      :  List[Any]    						=		initializer_range
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		summary_type
          SCREAMING_SNAKE_CASE_      :  Tuple    						=		summary_use_proj
          SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		summary_activation
          SCREAMING_SNAKE_CASE_      :  Any    						=		summary_first_dropout
          SCREAMING_SNAKE_CASE_      :  List[str]    						=		summary_proj_to_labels
          super().__init__(**lowercase_)


