code: def write_tokenizer(tokenizer_path, input_tokenizer_path):
      # Initialize the tokenizer based on the `spm` model
      print(f"Saving a {tokenizer_class.__name__} to {tokenizer_path}.")
      tokenizer = tokenizer_class(input_tokenizer_path)
      tokenizer.save_pretrained(tokenizer_path)
  
file_path: transformers/src/transformers/models/mistral/convert_mistral_weights_to_hf.py
imports: import argparse
  import gc
  import json
  import os
  import shutil
  import warnings
  import torch
  from transformers import LlamaTokenizer, MistralConfig, MistralForCausalLM
label_desc: Use image node_id 5 for calling a global function with example usage: write_tokenizer(tokenizer_path, input_tokenizer_path) without return types