runtime error

Exit code: 1. Reason: se_for_status(response) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 459, in hf_raise_for_status raise _format(RepositoryNotFoundError, message, response) from e huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-682ec97b-0d86138b32653616420c3d10;d7ed58aa-11f6-48be-bb87-3cdcf038fc07) Repository Not Found for url: https://huggingface.co/henriquequeirozcunha/google-vit-susan-dataset/resolve/main/preprocessor_config.json. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication Invalid username or password. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/user/app/app.py", line 20, in <module> processor = ViTImageProcessor.from_pretrained(model_name, do_rescale=False) File "/usr/local/lib/python3.10/site-packages/transformers/image_processing_base.py", line 208, in from_pretrained image_processor_dict, kwargs = cls.get_image_processor_dict(pretrained_model_name_or_path, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/image_processing_base.py", line 340, in get_image_processor_dict resolved_image_processor_file = cached_file( File "/usr/local/lib/python3.10/site-packages/transformers/utils/hub.py", line 266, in cached_file file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/utils/hub.py", line 456, in cached_files raise OSError( OSError: henriquequeirozcunha/google-vit-susan-dataset is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `huggingface-cli login` or by passing `token=<your_token>`

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