runtime error

Exit code: 1. Reason: Cargando Lumin Nano 2.1 (GGUF Optimized)... Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Traceback (most recent call last): File "/app/app.py", line 15, in <module> tokenizer = AutoTokenizer.from_pretrained(model_id, token=token, trust_remote_code=True) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/tokenization_auto.py", line 817, in from_pretrained return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 1721, in from_pretrained return cls._from_pretrained( ~~~~~~~~~~~~~~~~~~~~^ resolved_vocab_files, ^^^^^^^^^^^^^^^^^^^^^ ...<9 lines>... **kwargs, ^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 1910, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/usr/local/lib/python3.13/site-packages/transformers/tokenization_utils_tokenizers.py", line 376, in __init__ raise ValueError( ...<5 lines>... ) 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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