runtime error

Exit code: 1. Reason: etensors: 0%| | 0.00/1.35G [00:00<?, ?B/s] model.safetensors: 2%|▏ | 21.0M/1.35G [00:01<01:27, 15.2MB/s] model.safetensors: 5%|▍ | 62.9M/1.35G [00:02<00:56, 22.6MB/s] model.safetensors: 11%|█▏ | 152M/1.35G [00:03<00:25, 46.5MB/s]  model.safetensors: 52%|█████▏ | 697M/1.35G [00:04<00:03, 216MB/s]  model.safetensors: 100%|█████████▉| 1.35G/1.35G [00:05<00:00, 232MB/s] tokenizer_config.json: 0%| | 0.00/490 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 490/490 [00:00<00:00, 2.51MB/s] special_tokens_map.json: 0%| | 0.00/154 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 154/154 [00:00<00:00, 727kB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 7, in <module> tqa = pipeline(task="table-question-answering", model="google/tapas-large-finetuned-wtq") File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 967, in pipeline tokenizer = AutoTokenizer.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 835, in from_pretrained return tokenizer_class_py.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/tapas/tokenization_tapas.py", line 355, in __init__ if not os.path.isfile(vocab_file): File "/usr/local/lib/python3.10/genericpath.py", line 30, in isfile st = os.stat(path) TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

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