runtime error

Exit code: 1. Reason: 00/982M [00:00<?, ?B/s] pytorch_model.bin: 7%|▋ | 67.0M/982M [00:01<00:19, 47.8MB/s] pytorch_model.bin: 100%|██████████| 982M/982M [00:02<00:00, 464MB/s] Traceback (most recent call last): File "/app/app.py", line 46, in <module> VisionEncoderDecoderModel.from_pretrained(IMG_MODEL, torch_dtype=dtype) File "/usr/local/lib/python3.10/site-packages/transformers/models/vision_encoder_decoder/modeling_vision_encoder_decoder.py", line 283, 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 277, in _wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 5048, in from_pretrained ) = cls._load_pretrained_model( File "/usr/local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 5316, 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 508, in load_state_dict check_torch_load_is_safe() File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1647, 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 model.safetensors: 0%| | 0.00/982M [00:00<?, ?B/s] model.safetensors: 11%|█▏ | 111M/982M [00:01<00:11, 74.5MB/s] model.safetensors: 100%|██████████| 982M/982M [00:02<00:00, 456MB/s]  model.safetensors: 100%|██████████| 982M/982M [00:02<00:00, 389MB/s]

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