runtime error

Exit code: 1. Reason: adata( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1296, in get_hf_file_metadata r = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 280, in _request_wrapper response = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 304, in _request_wrapper hf_raise_for_status(response) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 458, in hf_raise_for_status raise _format(RepositoryNotFoundError, message, response) from e huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-67eaba9f-37453fd7650598d808384a5e;0c085a2d-7301-49e3-9343-9cda64138744) Repository Not Found for url: https://huggingface.co/Mohaddz/huggingCars/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. 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 12, in <module> part_seg_model = SegformerForSemanticSegmentation.from_pretrained("Mohaddz/huggingCars") File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3128, in from_pretrained resolved_config_file = cached_file( File "/usr/local/lib/python3.10/site-packages/transformers/utils/hub.py", line 425, in cached_file raise EnvironmentError( OSError: Mohaddz/huggingCars 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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