runtime error

afetensors: 94%|█████████▍| 252M/268M [00:02<00:00, 77.6MB/s] Downloading model.safetensors: 98%|█████████▊| 262M/268M [00:03<00:00, 74.6MB/s] Downloading model.safetensors: 100%|██████████| 268M/268M [00:03<00:00, 83.6MB/s] Downloading (…)okenizer_config.json: 0%| | 0.00/48.0 [00:00<?, ?B/s] Downloading (…)okenizer_config.json: 100%|██████████| 48.0/48.0 [00:00<00:00, 371kB/s] Downloading (…)solve/main/vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s] Downloading (…)solve/main/vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 38.4MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 8, in <module> out = pipe(text) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/text_classification.py", line 156, in __call__ result = super().__call__(*args, **kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 1140, in __call__ return self.run_single(inputs, preprocess_params, forward_params, postprocess_params) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/base.py", line 1146, in run_single model_inputs = self.preprocess(inputs, **preprocess_params) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/text_classification.py", line 180, in preprocess return self.tokenizer(inputs, return_tensors=return_tensors, **tokenizer_kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2602, in __call__ encodings = self._call_one(text=text, text_pair=text_pair, **all_kwargs) File "/home/user/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2660, in _call_one raise ValueError( ValueError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).

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