code: 
  
  import warnings
  
  from ...utils import logging
  from .image_processing_mobilenet_va import MobileNetVaImageProcessor
  
  
  __A   :     int      =			logging.get_logger(__name__)
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase__ ):
  
  
  
  
  
  
      def __init__(	self			:    Any    ,				*UpperCAmelCase_			:    List[str]    ,				**UpperCAmelCase_			:    int    ):
          warnings.warn(
              'The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use MobileNetV2ImageProcessor instead.'    ,				_lowerCamelCase    ,				)
          super().__init__(*_lowerCamelCase    ,				**_lowerCamelCase    )
  
  
  
  
  
  
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''',
  }
  
  
  
  
  
  