runtime error

Exit code: 1. Reason: Π—Π°Π³Ρ€ΡƒΠΆΠ°ΡŽ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹... config.json: 0%| | 0.00/280 [00:00<?, ?B/s] config.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 280/280 [00:00<00:00, 966kB/s] tokenizer_config.json: 0%| | 0.00/172 [00:00<?, ?B/s] tokenizer_config.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 172/172 [00:00<00:00, 698kB/s] Traceback (most recent call last): File "/app/app.py", line 12, in <module> tokenizer = AutoTokenizer.from_pretrained(model_id, token=token, use_fast=True) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/tokenization_auto.py", line 862, 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 1744, 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 1934, 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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