code: def get_chinese_word(tokens: List[str]):
      word_set = set()
  
      for token in tokens:
          chinese_word = len(token) > 1 and is_chinese(token)
          if chinese_word:
              word_set.add(token)
      word_list = list(word_set)
      return word_list
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/legacy/run_chinese_ref.py
imports: import argparse
  import json
  from typing import List
  from ltp import LTP
  from transformers import BertTokenizer
label_desc: Use image node_id 3 for calling a global function with example usage: get_chinese_word(tokens) and returns: word_list