class_docstr: Bert Like Tokenizer, ref: https://github.com/CyberZHG/keras-bert/blob/master/keras_bert/tokenizer.py
class_docstr_tok: ["Bert","Like","Tokenizer",",","ref",":","https",":","\/\/github.com\/CyberZHG\/keras-bert\/blob\/master\/keras_bert\/tokenizer.py"]
docstr: Split text to tokens.
  Args:
      text: text to tokenize.
  
  Returns:
      A list of strings.
docstr_tok: ["Split","text","to","tokens",".","Args",":","text",":","text","to","tokenize",".","Returns",":","A","list","of","strings","."]
code: def tokenize(self, text: str) -> List[str]:
      """
      Split text to tokens.
      Args:
          text: text to tokenize.
  
      Returns:
          A list of strings.
      """
      tokens = self._tokenize(text)
      return tokens
  
file_path: Kashgari/kashgari/tokenizers/bert_tokenizer.py
imports: import codecs
  import unicodedata
  from typing import List, Optional, Dict
  from kashgari.tokenizers.base_tokenizer import Tokenizer
label_desc: Use image node_id 3 for calling the BertTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: tokens