runtime error

Exit code: 1. Reason: eck_torch_load_is_safe raise ValueError( ValueError: Due to a serious vulnerability issue in `torch.load`, even with `weights_only=True`, we now require users to upgrade torch to at least v2.6 in order to use the function. This version restriction does not apply when loading files with safetensors. See the vulnerability report here https://nvd.nist.gov/vuln/detail/CVE-2025-32434 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 310, in infer_framework_load_model model = model_class.from_pretrained(model, **fp32_kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/models/vision_encoder_decoder/modeling_vision_encoder_decoder.py", line 284, in from_pretrained return super().from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 311, in _wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4839, in from_pretrained ) = cls._load_pretrained_model( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 5105, in _load_pretrained_model load_state_dict(checkpoint_files[0], map_location="meta", weights_only=weights_only).keys() File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 556, in load_state_dict check_torch_load_is_safe() File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1517, in check_torch_load_is_safe raise ValueError( ValueError: Due to a serious vulnerability issue in `torch.load`, even with `weights_only=True`, we now require users to upgrade torch to at least v2.6 in order to use the function. This version restriction does not apply when loading files with safetensors. See the vulnerability report here https://nvd.nist.gov/vuln/detail/CVE-2025-32434

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