class_docstr: Bert Tokenizer built ontop of tensorflow_text.BertTokenizer.
class_docstr_tok: ["Bert","Tokenizer","built","ontop","of","tensorflow_text.BertTokenizer","."]
docstr: Get the vocab name.
docstr_tok: ["Get","the","vocab","name","."]
code: def get_vocab_name(self):
      """Get the vocab name."""
      return os.path.basename(self._vocab_path)
  
file_path: tfx/tfx/examples/bert/utils/bert_tokenizer_utils.py
imports: import os
  import tensorflow
  import tensorflow_hub
  import tensorflow_text
  from tensorflow.python.eager.context import eager_mode
label_desc: Use image node_id 2 for calling the BertPreprocessor obj's underlying member method code with example usage: obj.get_vocab_name() and returns: os