runtime error

Exit code: 1. Reason: lidators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1645, in get_hf_file_metadata r = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 372, in _request_wrapper response = _request_wrapper( File "/usr/local/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 396, in _request_wrapper hf_raise_for_status(response) File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py", line 352, in hf_raise_for_status raise RepositoryNotFoundError(message, response) from e huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6709a5b8-66a46fe712e642285c0b211d;a3295b8b-b636-4222-9320-49d4ea7bfd46) Repository Not Found for url: https://huggingface.co./google/gemma-1.1-2b-it/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. User Access Token "llm_rdgpt" is expired The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/user/app/app.py", line 14, in <module> model = AutoModelForCausalLM.from_pretrained(base_model_name, torch_dtype=torch.float32, device_map="cpu", low_cpu_mem_usage=True,token=token) File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 485, 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: google/gemma-1.1-2b-it 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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