docstr: We create a SetFitModel object from a pretrained model, then create a SetFitTrainer object with
  the model, and then train the model
docstr_tok: ["We","create","a","SetFitModel","object","from","a","pretrained","model",",","then","create","a","SetFitTrainer","object","with","the","model",",","and","then","train","the","model"]
code: def train(self, output_dir: str):
      """
      We create a SetFitModel object from a pretrained model, then create a SetFitTrainer object with
      the model, and then train the model
      """
      self.project.dataset.prepare()
      project_id = self.project.create()
      self.project.approve(project_id)
  
imports: import logging
  import os
  from typing import List, Optional, Union
  from uuid import uuid4
  from datasets import DatasetDict
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 5 for calling the ArgillaAutoTrainTrainer obj's underlying member method code with example usage: obj.train(output_dir) without return types