code: def remove_prefix(text: str, prefix: str):
      if text.startswith(prefix):
          return text[len(prefix) :]
      return text
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py
imports: import os
  from pathlib import Path
  from typing import Dict, List
  import fire
  import torch
  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
  from transformers.utils.logging import get_logger
label_desc: Use image node_id 1 for calling a global function with example usage: remove_prefix(text, prefix) and returns: text, text