code: def set_model(self, model: Any, processor: Any = None):
      processor = processor or self.processor
      if processor is None:
          raise ValueError(
              f"'processor' is required to be set, got {processor}."
          )
      elif (
          "ObjectDetection" not in model.__class__.__name__
          or "ImageProcessor" not in processor.__class__.__name__
      ):
          raise ValueError(
              "Given 'model' is not an ObjectDetectionModel or 'processor' is not a valid ImageProcessor."
          )
      self.model = model
      self.model.to(self.device)
      self._processor = processor
      self.category_mapping = self.model.config.id2label
  
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 7 for calling the HuggingfaceDetectionModel obj's underlying member method code with example usage: obj.set_model(model, processor) without return types