runtime error

=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQFN2FTF47%2F20240519%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240519T173230Z&X-Amz-Expires=259200&X-Amz-Signature=94b758b06d0f73d1bd0d1fac45728b9f3e9735121f89754e2b2ac8ce687c77ec&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%2A%3DUTF-8%27%27pytorch_model-00002-of-00002.bin%3B%20filename%3D%22pytorch_model-00002-of-00002.bin%22%3B&response-content-type=application%2Foctet-stream&x-id=GetObject"), fragment: None }, source: hyper::Error(IncompleteMessage) } The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/user/app/app.py", line 58, in <module> model = LlamaForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, trust_remote_code=True, low_cpu_mem_usage=True, device_map="auto") File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3000, in from_pretrained resolved_archive_file, sharded_metadata = get_checkpoint_shard_files( File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/hub.py", line 1040, in get_checkpoint_shard_files cached_filename = cached_file( File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/hub.py", line 429, in cached_file resolved_file = hf_hub_download( File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 118, in _inner_fn return fn(*args, **kwargs) File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1431, in hf_hub_download http_get( File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 506, in http_get raise RuntimeError( RuntimeError: An error occurred while downloading using `hf_********`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.

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