WeightsUnpickler error of YoloV10 Model in Google Colab due to Mistrust of Pytorch?

The YoloV10 is unable to be used in author's google colab due to the weights unpicker error. The error is show below. There is some recommendations of Pytorch change something in "/usr/local/lib/python3.11/dist-packages/torch/serialization.py". However, it is unable to be reached by using Google Colab. How to solve this problems. Thank in advance.

%cd {HOME}

!yolo task=detect mode=predict conf=0.25 save=True
model={HOME}/weights/yolov10n.pt
source={HOME}/data/dog.jpeg

/content Traceback (most recent call last): File "/usr/local/bin/yolo", line 8, in sys.exit(entrypoint()) ^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/ultralytics/cfg/init.py", line 567, in entrypoint model = YOLOv10(model) ^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/ultralytics/models/yolov10/model.py", line 14, in init super().init(model=model, task=task, verbose=verbose) File "/usr/local/lib/python3.11/dist-packages/ultralytics/engine/model.py", line 141, in init self._load(model, task=task) File "/usr/local/lib/python3.11/dist-packages/ultralytics/engine/model.py", line 230, in _load self.model, self.ckpt = attempt_load_one_weight(weights) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/ultralytics/nn/tasks.py", line 807, in attempt_load_one_weight ckpt, weight = torch_safe_load(weight) # load ckpt ^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/ultralytics/nn/tasks.py", line 733, in torch_safe_load ckpt = torch.load(file, map_location="cpu") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/torch/serialization.py", line 1470, in load raise pickle.UnpicklingError(_get_wo_message(str(e))) from None _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint. (1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. (2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message. WeightsUnpickler error: Unsupported global: GLOBAL ultralytics.nn.tasks.YOLOv10DetectionModel was not an allowed global by default. Please use torch.serialization.add_safe_globals([YOLOv10DetectionModel]) or the torch.serialization.safe_globals([YOLOv10DetectionModel]) context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.