code: def rename_key(name):
      if "module.v" in name:
          name = name.replace(
              "module.v", "audio_spectrogram_transformer"
          )
      if "cls_token" in name:
          name = name.replace("cls_token", "embeddings.cls_token")
      if "dist_token" in name:
          name = name.replace(
              "dist_token", "embeddings.distillation_token"
          )
      if "pos_embed" in name:
          name = name.replace(
              "pos_embed", "embeddings.position_embeddings"
          )
      if "patch_embed.proj" in name:
          name = name.replace(
              "patch_embed.proj",
              "embeddings.patch_embeddings.projection",
          )
      # transformer blocks
      if "blocks" in name:
          name = name.replace("blocks", "encoder.layer")
      if "attn.proj" in name:
          name = name.replace("attn.proj", "attention.output.dense")
      if "attn" in name:
          name = name.replace("attn", "attention.self")
      if "norm1" in name:
          name = name.replace("norm1", "layernorm_before")
      if "norm2" in name:
          name = name.replace("norm2", "layernorm_after")
      if "mlp.fc1" in name:
          name = name.replace("mlp.fc1", "intermediate.dense")
      if "mlp.fc2" in name:
          name = name.replace("mlp.fc2", "output.dense")
      # final layernorm
      if "audio_spectrogram_transformer.norm" in name:
          name = name.replace(
              "audio_spectrogram_transformer.norm",
              "audio_spectrogram_transformer.layernorm",
          )
      # classifier head
      if "module.mlp_head.0" in name:
          name = name.replace(
              "module.mlp_head.0", "classifier.layernorm"
          )
      if "module.mlp_head.1" in name:
          name = name.replace("module.mlp_head.1", "classifier.dense")
  
      return name
  
file_path: transformers/src/transformers/models/audio_spectrogram_transformer/convert_audio_spectrogram_transformer_original_to_pytorch.py
imports: import argparse
  import json
  from pathlib import Path
  import torch
  import torchaudio
  from datasets import load_dataset
  from huggingface_hub import hf_hub_download
  from transformers import ASTConfig, ASTFeatureExtractor, ASTForAudioClassification
  from transformers.utils import logging
label_desc: Use image node_id 2 for calling a global function with example usage: rename_key(name) and returns: name