runtime error

Exit code: 1. Reason: tly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. I0000 00:00:1791932432.967105 1 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. I0000 00:00:1791932433.010898 1 cpu_feature_guard.cc:227] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1791932434.755491 1 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. I0000 00:00:1791932434.756001 1 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. /usr/local/lib/python3.10/site-packages/huggingface_hub/constants.py:277: FutureWarning: The `HF_HUB_ENABLE_HF_TRANSFER` environment variable is deprecated as 'hf_transfer' is not used anymore. Please use `HF_XET_HIGH_PERFORMANCE` instead to enable high performance transfer with Xet. Visit https://huggingface.co/docs/huggingface_hub/package_reference/environment_variables#hfxethighperformance for more details. warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 185, in <module> main() File "/home/user/app/app.py", line 140, in main model = load_model() File "/home/user/app/app.py", line 58, in load_model path = huggingface_hub.hf_hub_download(MODEL_REPO, File "/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn return fn(*args, **kwargs) TypeError: hf_hub_download() got an unexpected keyword argument 'use_auth_token'

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