code: 
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __A   :     List[str]      =			logging.get_logger(__name__)
  
  __A   :     List[str]      =			{
      'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
  }
  
  
  
  
  
  
  class    __A				(							lowercase_ ):
      lowerCAmelCase_							:		Any						=							"""regnet"""
      lowerCAmelCase_							:		int						=							["""x""", """y"""]
  
  
  
  
  
  
      def __init__(	self			:    int    ,				UpperCAmelCase_			:    List[str]=3    ,				UpperCAmelCase_			:    str=32    ,				UpperCAmelCase_			:    Any=[128, 192, 512, 1088]    ,				UpperCAmelCase_			:    List[str]=[2, 6, 12, 2]    ,				UpperCAmelCase_			:    Union[str, Any]=64    ,				UpperCAmelCase_			:    Union[str, Any]="y"    ,				UpperCAmelCase_			:    int="relu"    ,				**UpperCAmelCase_			:    Tuple    ,				):
          super().__init__(**UpperCAmelCase_    )
          if layer_type not in self.layer_types:
              raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types    )}"    )
          lowerCAmelCase    			=      num_channels
          lowerCAmelCase    			=      embedding_size
          lowerCAmelCase    			=      hidden_sizes
          lowerCAmelCase    			=      depths
          lowerCAmelCase    			=      groups_width
          lowerCAmelCase    			=      layer_type
          lowerCAmelCase    			=      hidden_act
          # always downsample in the first stage
          lowerCAmelCase    			=      True
  
  
  
  
  
  
style_context: 
  
  __A   :     List[Any]      =			'''
  # Installation de Transformers
  ! pip install transformers datasets
  # Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
  # ! pip install git+https://github.com/huggingface/transformers.git
  '''
  
  __A   :     Dict      =			[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
  __A   :     Tuple      =			{
      '''{processor_class}''': '''FakeProcessorClass''',
      '''{model_class}''': '''FakeModelClass''',
      '''{object_class}''': '''FakeObjectClass''',
  }
  
  
  
  
  
  