runtime error
Exit code: 1. Reason: mits and faster downloads. config.json: 0%| | 0.00/2.15k [00:00<?, ?B/s][A config.json: 100%|██████████| 2.15k/2.15k [00:00<00:00, 6.45MB/s] tokenizer_config.json: 0%| | 0.00/267 [00:00<?, ?B/s][A tokenizer_config.json: 100%|██████████| 267/267 [00:00<00:00, 848kB/s] special_tokens_map.json: 0%| | 0.00/96.0 [00:00<?, ?B/s][A special_tokens_map.json: 100%|██████████| 96.0/96.0 [00:00<00:00, 317kB/s] Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 650, in from_pretrained return TokenizersBackend.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1751, in from_pretrained return cls._from_pretrained( File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2003, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/tokenization_utils_tokenizers.py", line 274, 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. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/app/app.py", line 21, in <module> tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, trust_remote_code=True) File "/usr/local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 652, in from_pretrained return tokenizer_class_from_name(tokenizer_config_class).from_pretrained( AttributeError: 'NoneType' object has no attribute 'from_pretrained'
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