code: def load_model(self):
      from transformers import (
          AutoModelForObjectDetection,
          AutoProcessor,
      )
  
      model = AutoModelForObjectDetection.from_pretrained(
          self.model_path
      )
      if self.image_size is not None:
          processor = AutoProcessor.from_pretrained(
              self.model_path,
              size={
                  "shortest_edge": self.image_size,
                  "longest_edge": None,
              },
              do_resize=True,
          )
      else:
          processor = AutoProcessor.from_pretrained(self.model_path)
      self.set_model(model, processor)
  
imports: import logging
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  import pybboxes.functional
  from sahi.models.base import DetectionModel
  from sahi.prediction import ObjectPrediction
  from sahi.utils.compatibility import fix_full_shape_list, fix_shift_amount_list
  from sahi.utils.import_utils import check_requirements, ensure_package_minimum_version
label_desc: Use image node_id 6 for calling the HuggingfaceDetectionModel obj's underlying member method code with example usage: obj.load_model() without return types