code: def convnext_xlarge(num_classes: int):
      # https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_224.pth
      model = ConvNeXt(
          depths=[3, 3, 27, 3],
          dims=[256, 512, 1024, 2048],
          num_classes=num_classes,
      )
      return model
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 6 for calling a global function with example usage: convnext_xlarge(num_classes) and returns: model