code: def save(self, path):
      info_path = (
          ".".join(os.path.basename(path).split(".")[:-1]) + "/.info"
      )
      torch.save(self.state_dict(), path)
      data_from_model = Data(
          self.input_size,
          self.hidden_size,
          self.output_size,
          self.version,
      )
      with ZipFile(path, "a") as model_zip:
          model_zip.writestr(info_path, data_from_model.save())
          model_zip.close()
  
file_path: TTS/TTS/tts/layers/bark/hubert/tokenizer.py
imports: import json
  import os.path
  from zipfile import ZipFile
  import numpy
  import torch
  from torch import nn, optim
label_desc: Use image node_id 6 for calling the HubertTokenizer obj's underlying member method code with example usage: obj.save(path) without return types