cannot load model anymore as weights_only

error occurs when using inference demo

Traceback (most recent call last): File "/FastSAM/Inference.py", line 122, in main(args) File "/FastSAM/Inference.py", line 76, in main model = FastSAM(args.model_path) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/FastSAM/ultralytics/yolo/engine/model.py", line 107, in init self._load(model, task) File "/FastSAM/ultralytics/yolo/engine/model.py", line 156, in _load self.model, self.ckpt = attempt_load_one_weight(weights) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/FastSAM/ultralytics/nn/tasks.py", line 578, in attempt_load_one_weight ckpt, weight = torch_safe_load(weight) # load ckpt ^^^^^^^^^^^^^^^^^^^^^^^ File "/FastSAM/ultralytics/nn/tasks.py", line 518, in torch_safe_load return torch.load(file, map_location='cpu'), file # load ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "**********************/lib/python3.11/site-packages/torch/serialization.py", line 1524, 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.SegmentationModel was not an allowed global by default. Please use torch.serialization.add_safe_globals([ultralytics.nn.tasks.SegmentationModel]) or the torch.serialization.safe_globals([ultralytics.nn.tasks.SegmentationModel]) 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.

Even if using argument as 'weights_only=False' when load checkpoint cannot resolve this problem