runtime error

Exit code: 1. Reason: l/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 285, in _request_wrapper response = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 309, in _request_wrapper hf_raise_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=1-6807d31d-15af4f6627ecac4f386f0d1a;3d6b090e-54a2-450b-9db4-8980c25babf3) Repository Not Found for url: https://huggingface.co/Dliy/cross-encoder-russian-msmarco/resolve/main/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 5, in <module> model = AutoModelForSequenceClassification.from_pretrained("Dliy/cross-encoder-russian-msmarco") File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 492, in from_pretrained resolved_config_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: Dliy/cross-encoder-russian-msmarco 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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