runtime error

/usr/local/lib/python3.8/site-packages/transformers/utils/hub.py:124: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. warnings.warn( No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english). Using a pipeline without specifying a model name and revision in production is not recommended. Traceback (most recent call last): File "app.py", line 5, in <module> model = pipeline("sentiment-analysis") File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/__init__.py", line 906, in pipeline framework, model = infer_framework_load_model( File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/base.py", line 283, in infer_framework_load_model model = model_class.from_pretrained(model, **kwargs) File "/usr/local/lib/python3.8/site-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained return model_class.from_pretrained( File "/usr/local/lib/python3.8/site-packages/transformers/modeling_utils.py", line 3481, in from_pretrained state_dict = load_state_dict(resolved_archive_file) File "/usr/local/lib/python3.8/site-packages/transformers/modeling_utils.py", line 514, in load_state_dict return safe_load_file(checkpoint_file) File "/usr/local/lib/python3.8/site-packages/safetensors/torch.py", line 313, in load_file result[k] = f.get_tensor(k) AttributeError: module 'torch' has no attribute 'frombuffer'

Container logs: