runtime error

Exit code: 1. Reason: ========================= FastLLM ============================================================ Model: devoppro/FastLLM Device: cpu Loading tokenizer... Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. config.json: 0%| | 0.00/644 [00:00<?, ?B/s] config.json: 100%|██████████| 644/644 [00:00<00:00, 2.79MB/s] configuration_modern_llm.py: 0%| | 0.00/1.46k [00:00<?, ?B/s] configuration_modern_llm.py: 100%|██████████| 1.46k/1.46k [00:00<00:00, 7.25MB/s] [transformers] A new version of the following files was downloaded from https://huggingface.co/devoppro/FastLLM: - configuration_modern_llm.py . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision. Traceback (most recent call last): File "/home/user/app/app.py", line 31, in <module> tokenizer = AutoTokenizer.from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 954, in from_pretrained return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1736, in from_pretrained return cls._from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1932, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_tokenizers.py", line 376, 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 or tiktoken installed to convert a slow tokenizer to a fast one.

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