docstr: The function saves the model to the path specified, and also saves the label2id and id2label
  dictionaries to the same path
  
  Args:
    path (str): the path to save the model to
docstr_tok: ["The","function","saves","the","model","to","the","path","specified",",","and","also","saves","the","label2id","and","id2label","dictionaries","to","the","same","path","Args",":","path","(","str",")",":","the","path","to","save","the","model","to"]
code: def save(self, output_dir: str):
      """
      The function saves the model to the path specified, and also saves the label2id and id2label
      dictionaries to the same path
  
      Args:
        path (str): the path to save the model to
      """
      if not isinstance(output_dir, str):
          output_dir = str(output_dir)
      self.trainer_model.save_pretrained(output_dir)
  
      # store dict as json
      with open(output_dir + "/label2id.json", "w") as f:
          json.dump(self._label2id, f)
      with open(output_dir + "/id2label.json", "w") as f:
          json.dump(self._id2label, f)
  
file_path: argilla/src/argilla/training/setfit.py
imports: import json
  import logging
  from typing import List, Union
  from argilla.client.models import TextClassificationRecord
  from argilla.training.transformers import ArgillaTransformersTrainer
  from argilla.training.utils import get_default_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 8 for calling the ArgillaSetFitTrainer obj's underlying member method code with example usage: obj.save(output_dir) without return types