class_docstr: Wrapper class for timm models to be used as backbones. This enables using the timm models interchangeably with the
  other models in the library keeping the same API.
class_docstr_tok: ["Wrapper","class","for","timm","models","to","be","used","as","backbones",".","This","enables","using","the","timm","models","interchangeably","with","the","other","models","in","the","library","keeping","the","same","API","."]
docstr: Empty init weights function to ensure compatibility of the class in the library.
docstr_tok: ["Empty","init","weights","function","to","ensure","compatibility","of","the","class","in","the","library","."]
code: def _init_weights(self, module):
      """
      Empty init weights function to ensure compatibility of the class in the library.
      """
      pass
  
file_path: transformers/src/transformers/models/timm_backbone/modeling_timm_backbone.py
imports: from typing import Optional, Tuple, Union
  import torch
  from ...modeling_outputs import BackboneOutput
  from ...modeling_utils import PreTrainedModel
  from ...utils import is_timm_available, is_torch_available, requires_backends
  from ...utils.backbone_utils import BackboneMixin
  from .configuration_timm_backbone import TimmBackboneConfig
label_desc: Use image node_id 5 for calling the TimmBackbone obj's underlying member method code with example usage: obj._init_weights(module) without return types