class_docstr: Tokenizer transform abstract class.
docstr: Return str represent key arguments for TokenizerTransform.
docstr_tok: ["Return","str","represent","key","arguments","for","TokenizerTransform","."]
code: def _repr_args(self):
      """Return str represent key arguments for TokenizerTransform."""
      kwargs = {
          "share_vocab": self.share_vocab,
          "src_subword_model": self.src_subword_model,
          "tgt_subword_model": self.tgt_subword_model,
          "src_subword_alpha": self.src_subword_alpha,
          "tgt_subword_alpha": self.tgt_subword_alpha,
          "src_subword_vocab": self.src_subword_vocab,
          "tgt_subword_vocab": self.tgt_subword_vocab,
          "src_vocab_threshold": self.src_vocab_threshold,
          "tgt_vocab_threshold": self.tgt_vocab_threshold,
      }
      return ", ".join([f"{kw}={arg}" for kw, arg in kwargs.items()])
  
imports: import re
  from onmt.utils.logging import logger
  from onmt.transforms import register_transform
  from .transform import Transform, ObservableStats
  from onmt.constants import DefaultTokens
label_desc: Use image node_id 5 for calling the TokenizerTransform obj's underlying member method code with example usage: obj._repr_args() and returns: str