runtime error

Exit code: 1. Reason: | 1.26k/1.26k [00:00<00:00, 14.8MB/s] model.safetensors: 0%| | 0.00/1.59G [00:00<?, ?B/s] model.safetensors: 4%|▍ | 67.7M/1.59G [00:01<00:43, 35.2MB/s] model.safetensors: 38%|███▊ | 604M/1.59G [00:02<00:04, 245MB/s]  model.safetensors: 66%|██████▌ | 1.05G/1.59G [00:04<00:01, 313MB/s] model.safetensors: 92%|█████████▏| 1.45G/1.59G [00:05<00:00, 338MB/s] model.safetensors: 100%|██████████| 1.59G/1.59G [00:05<00:00, 287MB/s] tokenizer_config.json: 0%| | 0.00/1.23k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.23k/1.23k [00:00<00:00, 11.3MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 15, in <module> emo_clf = pipeline("text-classification", model="visolex/bartpho-emotion", top_k=None) File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 1059, in pipeline raise e File "/usr/local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 1054, in pipeline tokenizer = AutoTokenizer.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 1116, in from_pretrained return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 2132, in __getattribute__ requires_backends(cls, cls._backends) File "/usr/local/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 2118, in requires_backends raise ImportError("".join(failed)) ImportError: BartphoTokenizer requires the SentencePiece library but it was not found in your environment. Check out 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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