class_docstr: Jieba tokenizer
class_docstr_tok: ["Jieba","tokenizer"]
docstr: Tokenize text into token sequence
  Args:
      text: target text sample
  
  Returns:
      List of tokens in this sample
docstr_tok: ["Tokenize","text","into","token","sequence","Args",":","text",":","target","text","sample","Returns",":","List","of","tokens","in","this","sample"]
code: def tokenize(self, text: str, **kwargs: Any) -> List[str]:
      """
      Tokenize text into token sequence
      Args:
          text: target text sample
  
      Returns:
          List of tokens in this sample
      """
  
      return list(self._jieba.cut(text, **kwargs))
  
imports: from typing import List, Any
  from kashgari.tokenizers.base_tokenizer import Tokenizer
label_desc: Use image node_id 2 for calling the JiebaTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: list