class_docstr: Train sentences tokenizer
code: def pickle_sentence_tokenizer(self, filename: str, tokenizer):
      # Dump pickled tokenizer
      with open(filename, "wb") as f:
          pickle.dump(tokenizer, f)
  
file_path: cltk/src/cltk/tokenizers/utils.py
imports: import inspect
  import pickle
  from abc import abstractmethod
  from typing import Any, Dict, Generator, List, Set, Tuple
  from nltk.tokenize.punkt import PunktLanguageVars, PunktSentenceTokenizer, PunktTrainer
label_desc: Use image node_id 3 for calling the SentenceTokenizerTrainer obj's underlying member method code with example usage: obj.pickle_sentence_tokenizer(filename, tokenizer) without return types