docstr: The function saves the model to the path specified and also saves the label2id and id2label
  dictionaries to the same path
  
  Args:
    output_dir (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",":","output_dir","(","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:
        output_dir (str): the path to save the model to
      """
      self.trainer_model.save_pretrained(output_dir)
      self.trainer_tokenizer.save_pretrained(output_dir)
  
file_path: argilla/src/argilla/training/peft.py
imports: import logging
  from typing import List, Union
  import numpy
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.transformers import ArgillaTransformersTrainer
  from argilla.training.utils import filter_allowed_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 7 for calling the ArgillaPeftTrainer obj's underlying member method code with example usage: obj.save(output_dir) without return types