code: def get_vocab(self):
      vocab = {
          self.convert_ids_to_tokens(i): i
          for i in range(self.vocab_size)
      }
      vocab.update(self.added_tokens_encoder)
      return vocab
  
file_path: DeepKE/src/deepke/name_entity_re/cross/seq2seq/t5_bert_tokenizer.py
imports: import logging
  from typing import Optional, List
  from transformers import BertTokenizer
label_desc: Use image node_id 2 for calling the T5BertTokenizer obj's underlying member method code with example usage: obj.get_vocab() and returns: vocab