class_docstr: Support MMDET object detection models.
  Refer to https://github.com/open-mmlab/mmdetection
code: def save(
      self, save_path: str = "./", tokenizers: Optional[dict] = None
  ):
      weights_save_path = os.path.join(save_path, "model.pth")
      configs_save_path = os.path.join(save_path, "config.py")
  
      self._save_weights(save_path=weights_save_path)
      self._save_configs(save_path=configs_save_path)
  
      return save_path
  
imports: import logging
  import os
  import time
  import warnings
  from typing import Optional
  import torch
  from torch import nn
  from ..constants import BBOX, BBOX_FORMATS, COLUMN, IMAGE, IMAGE_VALID_NUM, LABEL, XYXY
  from .utils import freeze_model_layers, lookup_mmdet_config, update_mmdet_config
label_desc: Use image node_id 6 for calling the MMDetAutoModelForObjectDetection obj's underlying member method code with example usage: obj.save(save_path, tokenizers) and returns: save_path