code: def __init__(
      self,
      model: Union["PreTrainedModel", "TFPreTrainedModel"],
      config: PretrainedConfig,
  ):
      super().__init__()
      self.model = model
      self.config = config
      self.preprocessors = []
  
imports: import logging
  import os
  import subprocess
  from abc import ABC, abstractmethod
  from pathlib import Path
  from typing import TYPE_CHECKING, Optional, Union
  from huggingface_hub import HfApi, HfFolder
  from transformers import AutoConfig, PretrainedConfig, add_start_docstrings
  from .exporters import TasksManager
  from .utils import CONFIG_NAME
label_desc: Use image node_id 1 to create a new OptimizedModel object from inherited base classes: PreTrainedModel with example: obj = OptimizedModel(model, config)