runtime error

00, 28.2MB/s] 97%|█████████▋| 248M/256M [00:08<00:00, 27.5MB/s] 100%|█████████▉| 256M/256M [00:08<00:00, 34.8MB/s] 100%|██████████| 256M/256M [00:08<00:00, 31.3MB/s] [2023-09-08 05:47:36] INFO - checkpoint_utils.py - Successfully loaded pretrained weights for architecture yolo_nas_l Traceback (most recent call last): File "/home/user/app/app.py", line 383, in <module> main() File "/home/user/app/app.py", line 318, in main vehicle_predictor = VehiclePredictor('vehicle.pt') File "/home/user/app/app.py", line 243, in __init__ self.classifier_model = torch.load(model_path) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 809, in load return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 1172, in _load result = unpickler.load() File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 1142, in persistent_load typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location)) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 1116, in load_tensor wrap_storage=restore_location(storage, location), File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 217, in default_restore_location result = fn(storage, location) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 182, in _cuda_deserialize device = validate_cuda_device(location) File "/home/user/.local/lib/python3.10/site-packages/torch/serialization.py", line 166, in validate_cuda_device raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

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