runtime error

Exit code: 1. Reason: preprocessor_config.json: 0%| | 0.00/741 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 741/741 [00:00<00:00, 3.62MB/s] tokenizer_config.json: 0%| | 0.00/1.51k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.51k/1.51k [00:00<00:00, 9.39MB/s] tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 2.49MB/s] tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 70.4MB/s] added_tokens.json: 0%| | 0.00/43.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 43.0/43.0 [00:00<00:00, 225kB/s] special_tokens_map.json: 0%| | 0.00/552 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 552/552 [00:00<00:00, 3.43MB/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. processor_config.json: 0%| | 0.00/209 [00:00<?, ?B/s] processor_config.json: 100%|██████████| 209/209 [00:00<00:00, 1.35MB/s] Traceback (most recent call last): File "/app/app.py", line 14, in <module> processor = LlavaNextVideoProcessor.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf") File "/usr/local/lib/python3.10/site-packages/transformers/processing_utils.py", line 839, in from_pretrained return cls.from_args_and_dict(args, processor_dict, **kwargs) File "/usr/local/lib/python3.10/site-packages/transformers/processing_utils.py", line 659, in from_args_and_dict processor = cls(*args, **processor_dict) TypeError: LlavaNextVideoProcessor.__init__() got an unexpected keyword argument 'image_token'

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