runtime error

Exit code: 1. Reason: l still be able to use a slow processor with `use_fast=False`. tokenizer_config.json: 0%| | 0.00/4.19k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 4.19k/4.19k [00:00<00:00, 23.5MB/s] vocab.json: 0%| | 0.00/2.78M [00:00<?, ?B/s] vocab.json: 100%|██████████| 2.78M/2.78M [00:00<00:00, 47.1MB/s] merges.txt: 0%| | 0.00/1.67M [00:00<?, ?B/s] merges.txt: 100%|██████████| 1.67M/1.67M [00:00<00:00, 62.5MB/s] tokenizer.json: 0%| | 0.00/7.03M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 7.03M/7.03M [00:00<00:00, 28.7MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 11, in <module> processor = AutoProcessor.from_pretrained(model_name) File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/processing_auto.py", line 391, in from_pretrained return processor_class.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/processing_utils.py", line 1331, in from_pretrained args = cls._get_arguments_from_pretrained(pretrained_model_name_or_path, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/processing_utils.py", line 1390, in _get_arguments_from_pretrained args.append(attribute_class.from_pretrained(pretrained_model_name_or_path, **kwargs)) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 2142, in __getattribute__ requires_backends(cls, cls._backends) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 2128, in requires_backends raise ImportError("".join(failed)) ImportError: AutoVideoProcessor requires the Torchvision library but it was not found in your environment. Check out the instructions on the installation page: https://pytorch.org/get-started/locally/ and follow the ones that match your environment. Please note that you may need to restart your runtime after installation.

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