class_docstr: Construct a "Fast" BPE tokenizer for HerBERT (backed by HuggingFace's *tokenizers* library).
  
  Peculiarities:
  
  - uses BERT's pre-tokenizer: BertPreTokenizer splits tokens on spaces, and also on punctuation. Each occurrence of
    a punctuation character will be treated separately.
  
  This tokenizer inherits from [`PreTrainedTokenizer`] which contains most of the methods. Users should refer to the
  superclass for more information regarding methods.
  
  Args:
      vocab_file (`str`):
          Path to the vocabulary file.
      merges_file (`str`):
          Path to the merges file.
class_docstr_tok: ["Construct","a","``","Fast","''","BPE","tokenizer","for","HerBERT","(","backed","by","HuggingFace","'s","*","tokenizers","*","library",")",".","Peculiarities",":","-","uses","BERT","'s","pre-tokenizer",":","BertPreTokenizer","splits","tokens","on","spaces",",","and","also","on","punctuation",".","Each","occurrence","of","a","punctuation","character","will","be","treated","separately",".","This","tokenizer","inherits","from","[","`","PreTrainedTokenizer","`","]","which","contains","most","of","the","methods",".","Users","should","refer","to","the","superclass","for","more","information","regarding","methods",".","Args",":","vocab_file","(","`","str","`",")",":","Path","to","the","vocabulary","file",".","merges_file","(","`","str","`",")",":","Path","to","the","merges","file","."]
code: def save_vocabulary(
      self, save_directory: str, filename_prefix: Optional[str] = None
  ) -> Tuple[str]:
      files = self._tokenizer.model.save(
          save_directory, name=filename_prefix
      )
      return tuple(files)
  
file_path: transformers/src/transformers/models/herbert/tokenization_herbert_fast.py
imports: from typing import List, Optional, Tuple
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_herbert import HerbertTokenizer
label_desc: Use image node_id 5 for calling the HerbertTokenizerFast obj's underlying member method code with example usage: obj.save_vocabulary(save_directory, filename_prefix) and returns: tuple