class_docstr: Customtokenizer which will tokenize the input text as words or phases and convert the words (str) to an index (int) using the vocab.
  If you would like tokens, please use `hub.BertTokenizer`.
docstr: Converts an index (integer) in a token (str) using the vocab.
docstr_tok: ["Converts","an","index","(","integer",")","in","a","token","(","str",")","using","the","vocab","."]
code: def _convert_id_to_token(self, index: int):
      """Converts an index (integer) in a token (str) using the vocab."""
      return self.ids_to_tokens.get(index, None)
  
imports: import collections
  import inspect
  import os
  from typing import Callable, List, Union
  import paddlehub
  from paddlehub.utils.log import logger
  from paddlehub.text.bert_tokenizer import BasicTokenizer
  from paddlehub.text.utils import load_vocab, whitespace_tokenize
label_desc: Use image node_id 5 for calling the CustomTokenizer obj's underlying member method code with example usage: obj._convert_id_to_token(index) and returns: self