runtime error

Exit code: 1. Reason: preprocessor_config.json: 0%| | 0.00/275 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 275/275 [00:00<00:00, 2.30MB/s] tokenizer_config.json: 0%| | 0.00/1.14k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.14k/1.14k [00:00<00:00, 9.58MB/s] vocab.json: 0%| | 0.00/899k [00:00<?, ?B/s] vocab.json: 100%|██████████| 899k/899k [00:00<00:00, 37.0MB/s] merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 181MB/s] config.json: 0%| | 0.00/856 [00:00<?, ?B/s] config.json: 100%|██████████| 856/856 [00:00<00:00, 6.60MB/s] model.safetensors: 0%| | 0.00/501M [00:00<?, ?B/s] model.safetensors: 8%|▊ | 41.9M/501M [00:01<00:12, 37.8MB/s] model.safetensors: 100%|█████████▉| 501M/501M [00:01<00:00, 271MB/s] Some weights of LayoutLMv3ForTokenClassification were not initialized from the model checkpoint at microsoft/layoutlmv3-base and are newly initialized: ['classifier.bias', 'classifier.weight'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Traceback (most recent call last): File "/home/user/app/app.py", line 15, in <module> print_device_name = torch.cuda.get_device_name(torch.cuda.current_device()) File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 971, in current_device _lazy_init() File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 319, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

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