class_docstr: Vision Transformer
  A PyTorch impl of : `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale`  -
      https://arxiv.org/abs/2010.11929
class_docstr_tok: ["Vision","Transformer","A","PyTorch","impl","of",":","`","An","Image","is","Worth","16x16","Words",":","Transformers","for","Image","Recognition","at","Scale","`","-","https",":","\/\/arxiv.org\/abs\/2010.11929"]
code: def get_classifier(self):
      return self.head
  
imports: from collections import OrderedDict
  import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  import numpy
  from timm.models.layers import DropPath, to_2tuple, trunc_normal_
  from annotator.uniformer.mmcv_custom import load_checkpoint
  from annotator.uniformer.mmseg.utils import get_root_logger
  from ..builder import BACKBONES
label_desc: Use image node_id 5 for calling the UniFormer obj's underlying member method code with example usage: obj.get_classifier() and returns: self