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 a single index or a sequence of indices (integers) in a token '
  (resp.) a sequence of tokens (str), using the vocabulary and added tokens.
  Args:
      ids(:obj:`int` or :obj:`List[int]`): list of tokenized input ids.
      skip_special_token: Don't decode special tokens (self.all_special_tokens). Default: False
docstr_tok: ["Converts","a","single","index","or","a","sequence","of","indices","(","integers",")","in","a","token","'","(","resp",".",")","a","sequence","of","tokens","(","str",")",",","using","the","vocabulary","and","added","tokens",".","Args",":","ids","(",":","obj",":","`","int","`","or",":","obj",":","`","List","[","int","]","`",")",":","list","of","tokenized","input","ids",".","skip_special_token",":","Do","n't","decode","special","tokens","(","self.all_special_tokens",")",".","Default",":","False"]
code: def convert_ids_to_tokens(
      self, ids: Union[int, List[int]], skip_pad_token: bool
  ):
      """Converts a single index or a sequence of indices (integers) in a token '
      (resp.) a sequence of tokens (str), using the vocabulary and added tokens.
      Args:
          ids(:obj:`int` or :obj:`List[int]`): list of tokenized input ids.
          skip_special_token: Don't decode special tokens (self.all_special_tokens). Default: False
      """
      if isinstance(ids, int):
          return self._convert_id_to_token(ids)
      tokens = []
      for index in ids:
          index = int(index)
          if skip_pad_token and index == self.pad_token_id:
              continue
          tokens.append(self._convert_id_to_token(index))
      return tokens
  
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 7 for calling the CustomTokenizer obj's underlying member method code with example usage: obj.convert_ids_to_tokens(ids, skip_pad_token) and returns: tokens, self