






SCREAMING_SNAKE_CASE__		:       Optional[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
"""

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














from ..utils import requires_backends


SCREAMING_SNAKE_CASE__		:       int   							=							None







class 							UpperCAmelCase_     :




     def __init__(							self  ,	*_lowerCAmelCase  ,	**_lowerCAmelCase		):
          requires_backends(self  ,	["""detectron2"""]		)




     @classmethod
     def      __UpperCAmelCase     (							cls  ,	*_lowerCAmelCase  ,	**_lowerCAmelCase		):
          requires_backends(cls  ,	["""detectron2"""]		)






