code: def rename_key(name):
      if "patch_embed.proj" in name:
          name = name.replace(
              "patch_embed.proj",
              "embeddings.patch_embeddings.projection",
          )
      if "patch_embed.norm" in name:
          name = name.replace("patch_embed.norm", "embeddings.norm")
      if "layers" in name:
          name = "encoder." + name
      if "encoder.layers" in name:
          name = name.replace("encoder.layers", "encoder.stages")
      if "downsample.proj" in name:
          name = name.replace(
              "downsample.proj", "downsample.projection"
          )
      if "blocks" in name:
          name = name.replace("blocks", "layers")
      if "modulation.f.weight" in name or "modulation.f.bias" in name:
          name = name.replace(
              "modulation.f", "modulation.projection_in"
          )
      if "modulation.h.weight" in name or "modulation.h.bias" in name:
          name = name.replace(
              "modulation.h", "modulation.projection_context"
          )
      if (
          "modulation.proj.weight" in name
          or "modulation.proj.bias" in name
      ):
          name = name.replace(
              "modulation.proj", "modulation.projection_out"
          )
  
      if name == "norm.weight":
          name = "layernorm.weight"
      if name == "norm.bias":
          name = "layernorm.bias"
  
      if "head" in name:
          name = name.replace("head", "classifier")
      else:
          name = "focalnet." + name
  
      return name
  
file_path: transformers/src/transformers/models/focalnet/convert_focalnet_to_hf_format.py
imports: import argparse
  import json
  import requests
  import torch
  from huggingface_hub import hf_hub_download
  from PIL import Image
  from torchvision import transforms
  from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
  from transformers.image_utils import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, PILImageResampling
label_desc: Use image node_id 2 for calling a global function with example usage: rename_key(name) and returns: name