runtime error

Exit code: 1. Reason: | 0.00/3.62M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 3.62M/3.62M [00:00<00:00, 7.79MB/s] added_tokens.json: 0%| | 0.00/41.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 41.0/41.0 [00:00<00:00, 428kB/s] special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 6.34MB/s] Traceback (most recent call last): File "/usr/local/lib/python3.10/site-packages/transformers/feature_extraction_utils.py", line 193, in convert_to_tensors tensor = as_tensor(value) File "/usr/local/lib/python3.10/site-packages/transformers/feature_extraction_utils.py", line 150, in as_tensor return torch.from_numpy(value) RuntimeError: Numpy is not available During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 41, in <module> inputs = processor(images=raw_image, text=prompt, return_tensors='pt') File "/usr/local/lib/python3.10/site-packages/transformers/models/llava/processing_llava.py", line 145, in __call__ image_inputs = self.image_processor(images, **output_kwargs["images_kwargs"]) File "/usr/local/lib/python3.10/site-packages/transformers/image_processing_utils.py", line 41, in __call__ return self.preprocess(images, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/models/clip/image_processing_clip.py", line 345, in preprocess return BatchFeature(data=data, tensor_type=return_tensors) File "/usr/local/lib/python3.10/site-packages/transformers/feature_extraction_utils.py", line 79, in __init__ self.convert_to_tensors(tensor_type=tensor_type) File "/usr/local/lib/python3.10/site-packages/transformers/feature_extraction_utils.py", line 199, in convert_to_tensors raise ValueError( ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

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