runtime error

Exit code: 1. Reason: enizer_config.json: 100%|██████████| 2.35k/2.35k [00:00<00:00, 17.1MB/s] spiece.model: 0%| | 0.00/792k [00:00<?, ?B/s] spiece.model: 100%|██████████| 792k/792k [00:00<00:00, 151MB/s] added_tokens.json: 0%| | 0.00/21.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 212kB/s] special_tokens_map.json: 0%| | 0.00/2.23k [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 2.23k/2.23k [00:00<00:00, 19.2MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 38, in <module> selfcheck_mqag = SelfCheckMQAG(device=device) File "/home/user/.local/lib/python3.10/site-packages/selfcheckgpt/modeling_selfcheck.py", line 140, in __init__ self.g1_tokenizer = AutoTokenizer.from_pretrained(g1_model) File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 814, in from_pretrained return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2029, in from_pretrained return cls._from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2261, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 135, in __init__ super().__init__( File "/home/user/.local/lib/python3.10/site-packages/transformers/tokenization_utils_fast.py", line 120, in __init__ raise ValueError( ValueError: Couldn't instantiate the backend tokenizer from one of: (1) a `tokenizers` library serialization file, (2) a slow tokenizer instance to convert or (3) an equivalent slow tokenizer class to instantiate and convert. You need to have sentencepiece installed to convert a slow tokenizer to a fast one.

Container logs: