code: def get_classifier(self):
      return self.head
  
imports: import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import SelectAdaptivePool2d
  from ._registry import register_model, generate_default_cfgs
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
label_desc: Use image node_id 4 for calling the ConvMixer obj's underlying member method code with example usage: obj.get_classifier() and returns: self