runtime error

Space failed. Exit code: 1. Reason: .10/site-packages/huggingface_hub/file_download.py", line 1346, in hf_hub_download raise head_call_error File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1232, in hf_hub_download metadata = get_hf_file_metadata( File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn return fn(*args, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1608, in get_hf_file_metadata hf_raise_for_status(r) File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 277, in hf_raise_for_status raise GatedRepoError(message, response) from e huggingface_hub.utils._errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-65bbdc27-768b82e173a60b852861eabc;12ea00bc-c1f6-4666-91fb-2c7583c015ae) Cannot access gated repo for url https://huggingface.co./jinaai/jina-embeddings-v2-base-en/resolve/main/config.json. Repo model jinaai/jina-embeddings-v2-base-en is gated. You must be authenticated to access it. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/user/app/app.py", line 17, in <module> from backend.semantic_search import table, retriever File "/home/user/app/backend/semantic_search.py", line 15, in <module> model = AutoModel.from_pretrained(EMB_MODEL_NAME, trust_remote_code=True) File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 487, in from_pretrained resolved_config_file = cached_file( File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 444, in cached_file raise EnvironmentError( OSError: You are trying to access a gated repo. Make sure to request access at https://huggingface.co./jinaai/jina-embeddings-v2-base-en and 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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