chunk_content:  timm
  
  num_classes = ...
  model_id = "timm/poolformer_m36.sail_in1k"
  model = timm.create_model(model_id, pretrained=True, num_classes=num_classes)
  Again, we need to make a decision about what layers to apply LoRA to. Since LoRA supports 2D conv layers, and since
  those are a major building block of this model, we should apply LoRA to the 2D conv layers. To identify the names of
  those layers, let’s look at all the layer names:
  
  
  	Copied
  print([(n,