code: def _convert_yolo_nas_detection_model(model):
      config_model = {
          "model": model,
          "labels_path": "{{eta-resources}}/ms-coco-labels.txt",
          "output_processor_cls": "fiftyone.utils.torch.ClassifierOutputProcessor",
          "raw_inputs": True,
      }
  
      config = TorchYoloNasModelConfig(config_model)
      return TorchYoloNasModel(config)
  
file_path: fiftyone/fiftyone/utils/super_gradients.py
imports: import logging
  import fiftyone
  import fiftyone.core.utils
  import fiftyone.utils.torch
  import fiftyone.zoo.models
  import torch
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: _convert_yolo_nas_detection_model(model) and returns: TorchYoloNasModel