class_docstr: Wrapper class for data config YAML
class_docstr_tok: ["Wrapper","class","for","data","config","YAML"]
docstr: Subword tokenizer to apply after pre-tokenization. Returning
  a dictionary with `bpe` providing the tokenizer name and
  the other items providing the tokenizer-specific arguments.
  Tokenizers are defined in `fairseq.data.encoders.*`
docstr_tok: ["Subword","tokenizer","to","apply","after","pre-tokenization",".","Returning","a","dictionary","with","`","bpe","`","providing","the","tokenizer","name","and","the","other","items","providing","the","tokenizer-specific","arguments",".","Tokenizers","are","defined","in","`","fairseq.data.encoders",".","*","`"]
code: def bpe_tokenizer(self) -> Dict:
      """Subword tokenizer to apply after pre-tokenization. Returning
      a dictionary with `bpe` providing the tokenizer name and
      the other items providing the tokenizer-specific arguments.
      Tokenizers are defined in `fairseq.data.encoders.*`"""
      tokenizer = self.config.get("bpe_tokenizer", {"bpe": None})
      return self._auto_convert_to_abs_path(tokenizer)
  
imports: import logging
  from argparse import Namespace
  from copy import deepcopy
  from pathlib import Path
  from typing import Dict, Optional
  from fairseq.data import Dictionary
label_desc: Use image node_id 7 for calling the S2TDataConfig obj's underlying member method code with example usage: obj.bpe_tokenizer() and returns: self