class_docstr: Wrapper of HuggingFace AutoTokenizer https://huggingface.co/transformers/model_doc/auto.html#autotokenizer.
class_docstr_tok: ["Wrapper","of","HuggingFace","AutoTokenizer","https",":","\/\/huggingface.co\/transformers\/model_doc\/auto.html","#","autotokenizer","."]
docstr: Saves tokenizer's vocabulary and other artifacts to the specified directory
docstr_tok: ["Saves","tokenizer","'s","vocabulary","and","other","artifacts","to","the","specified","directory"]
code: def save_vocabulary(
      self, save_directory: str, filename_prefix: str = None
  ):
      """Saves tokenizer's vocabulary and other artifacts to the specified directory"""
      return self.tokenizer.save_vocabulary(
          save_directory=save_directory, filename_prefix=filename_prefix
      )
  
imports: from typing import Optional
  from transformers import AutoTokenizer
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.utils import logging
label_desc: Use image node_id 21 for calling the AutoTokenizer obj's underlying member method code with example usage: obj.save_vocabulary(save_directory, filename_prefix) and returns: self