code: def final():
      """
      Function helps in renaming final classification layer
      """
      head = []
      head.append(("layernorm.weight", "norm.weight"))
      head.append(("layernorm.bias", "norm.bias"))
      head.append(("classifier.weight", "head.weight"))
      head.append(("classifier.bias", "head.bias"))
      return head
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/cvt/convert_cvt_original_pytorch_checkpoint_to_pytorch.py
imports: import argparse
  import json
  from collections import OrderedDict
  import torch
  from huggingface_hub import cached_download, hf_hub_url
  from transformers import AutoFeatureExtractor, CvtConfig, CvtForImageClassification
label_desc: Use image node_id 4 for calling a global function with example usage: final() and returns: head