runtime error

Exit code: 1. Reason: ��████████████▊ | 400M/461M [00:05<00:00, 82.2MiB/s] 100%|███████████████████████████████████████| 461M/461M [00:08<00:00, 55.1MiB/s] /usr/local/lib/python3.10/site-packages/whisper/__init__.py:150: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(fp, map_location=device) Traceback (most recent call last): File "/home/user/app/app.py", line 14, in <module> tokenizer_he = MarianTokenizer.from_pretrained(model_name_he) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1637, in __getattribute__ requires_backends(cls, cls._backends) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1625, in requires_backends raise ImportError("".join(failed)) ImportError: MarianTokenizer requires the SentencePiece library but it was not found in your environment. Checkout the instructions on the installation page of its repo: https://github.com/google/sentencepiece#installation and follow the ones that match your environment. Please note that you may need to restart your runtime after installation.

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