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.