class_docstr: Runs WordPiece tokenization.
class_docstr_tok: ["Runs","WordPiece","tokenization","."]
code: def __init__(
      self,
      vocab: Dict[str, int],
      unk_token: str,
      max_input_chars_per_word: int = 100,
  ):
      self.vocab = vocab
      self.unk_token = unk_token
      self.max_input_chars_per_word = max_input_chars_per_word
  
file_path: texar/texar/tf/data/tokenizers/bert_tokenizer_utils.py
imports: from typing import Dict, List, Optional
  import collections
  import unicodedata
label_desc: Use image node_id 1 to create a new WordpieceTokenizer object  with example: obj = WordpieceTokenizer(vocab, unk_token, max_input_chars_per_word)