code: def fridge_efficientdet_model() -> nn.Module:
      WEIGHTS_URL = "https://github.com/airctic/model_zoo/releases/download/m2/fridge_tf_efficientdet_lite0.pt"
      # TODO: HACK 5+1 in num_classes (becaues of change in model.py)
      backbone = models.ross.efficientdet.backbones.tf_lite0(
          pretrained=False
      )
      model = efficientdet.model(
          backbone=backbone, num_classes=5, img_size=384
      )
  
      state_dict = torch.hub.load_state_dict_from_url(
          WEIGHTS_URL, map_location=torch.device("cpu")
      )
      model.load_state_dict(state_dict)
  
      return model
  
imports: import pytest
  from icevision import *
  from icevision.imports import *
  from icevision.models.torchvision import faster_rcnn, keypoint_rcnn
  from icevision.models.ross import efficientdet
  from icevision.models.ross.efficientdet.backbones import *
  import albumentations
label_desc: Use image node_id 3 for calling a global function with example usage: fridge_efficientdet_model() and returns: model