class_docstr: Runs WordPiece tokenization.
code: def __init__(self, vocab, unk_token, max_input_chars_per_word=100):
      self.vocab = vocab
      self.unk_token = unk_token
      self.max_input_chars_per_word = max_input_chars_per_word
  
imports: import collections
  import os
  import unicodedata
  from typing import List, Optional, Tuple
  from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
  from ...utils import logging
label_desc: Use image node_id 1 to create a new WordpieceTokenizer object from inherited base classes: object with example: obj = WordpieceTokenizer(vocab, unk_token, max_input_chars_per_word)