

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


__UpperCAmelCase								=			logging.get_logger(__name__)



class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      List[str]										="timm_backbone"







  def __init__(      self			:   str	,							lowerCAmelCase			:   Any=None	,							lowerCAmelCase			:   str=3	,							lowerCAmelCase			:   List[str]=True	,							lowerCAmelCase			:   Tuple=True	,							lowerCAmelCase			:   Union[str, Any]=None	,							**lowerCAmelCase			:   int	,							)							->     Optional[int]:






     """simple docstring"""







     super().__init__(**lowerCAmelCase   )
     __lowerCAmelCase  :      Any    =						backbone
     __lowerCAmelCase  :      Optional[int]    =						num_channels
     __lowerCAmelCase  :      List[Any]    =						features_only
     __lowerCAmelCase  :      str    =						use_pretrained_backbone
     __lowerCAmelCase  :      int    =						True
     __lowerCAmelCase  :      Any    =						out_indices if out_indices is not None else (-1,)





__UpperCAmelCase								=			"""
# 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
"""

__UpperCAmelCase								=			[{"""type""": """code""", """content""": INSTALL_CONTENT}]
__UpperCAmelCase								=			{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}


