runtime error

Exit code: 1. Reason: | 0.00/2.24G [00:00<?, ?B/s] pytorch_model.bin: 6%|▌ | 136M/2.24G [00:01<00:15, 134MB/s] pytorch_model.bin: 16%|█▋ | 367M/2.24G [00:02<00:09, 190MB/s] pytorch_model.bin: 55%|█████▍ | 1.23G/2.24G [00:03<00:02, 490MB/s] pytorch_model.bin: 96%|█████████▌| 2.14G/2.24G [00:04<00:00, 654MB/s] pytorch_model.bin: 100%|█████████▉| 2.24G/2.24G [00:04<00:00, 487MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 10, in <module> tagger = SequenceTagger.load("flair/ner-english-large") File "/usr/local/lib/python3.10/site-packages/flair/models/sequence_tagger_model.py", line 948, in load return cast("SequenceTagger", super().load(model_path=model_path)) File "/usr/local/lib/python3.10/site-packages/flair/nn/model.py", line 584, in load return cast("Classifier", super().load(model_path=model_path)) File "/usr/local/lib/python3.10/site-packages/flair/nn/model.py", line 193, in load state = load_torch_state(model_file) File "/usr/local/lib/python3.10/site-packages/flair/file_utils.py", line 385, in load_torch_state return torch.load(f, map_location="cpu") File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1470, in load raise pickle.UnpicklingError(_get_wo_message(str(e))) from None _pickle.UnpicklingError: Weights only load failed. In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. Please file an issue with the following so that we can make `weights_only=True` compatible with your use case: WeightsUnpickler error: Unsupported operand 149 Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

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