code: def init_model(self) -> None:
      import openai
  
      if self.finetune_id is not None:
          if self.__legacy:
              response = openai.FineTune.retrieve(self.finetune_id)
          else:
              response = openai.FineTuningJob.retrieve(self.finetune_id)
          potential_model = response.fine_tuned_model
          if potential_model is None:
              self._logger.warning("Fine-tuning is still in progress.")
          else:
              self._model = potential_model
      else:
          response = openai.Model.retrieve(self._model)
          self._model = response.id
          self._logger.info(response)
  
imports: import logging
  import os
  import time
  from typing import List, Optional, Union
  import numpy
  from argilla._constants import OPENAI_END_TOKEN, OPENAI_LEGACY_MODELS, OPENAI_SEPARATOR, OPENAI_WHITESPACE
  from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.datasets import TextClassificationSettings, TokenClassificationSettings
  from argilla.training.base import ArgillaTrainerSkeleton
  from argilla.training.utils import filter_allowed_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 8 for calling the ArgillaOpenAITrainer obj's underlying member method code with example usage: obj.init_model() without return types