class_docstr: SelecSls42 / SelecSls60 / SelecSls84
  
  Parameters
  ----------
  cfg : network config dictionary specifying block type, feature, and head args
  num_classes : int, default 1000
      Number of classification classes.
  in_chans : int, default 3
      Number of input (color) channels.
  drop_rate : float, default 0.
      Dropout probability before classifier, for training
  global_pool : str, default 'avg'
      Global pooling type. One of 'avg', 'max', 'avgmax', 'catavgmax'
code: def get_classifier(self):
      return self.fc
  
imports: from typing import List
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 4 for calling the SelecSls obj's underlying member method code with example usage: obj.get_classifier() and returns: self