runtime error

Exit code: 1. Reason: k/wav2vec2-base-960h and are newly initialized: ['wav2vec2.masked_spec_embed'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. tokenizer_config.json: 0%| | 0.00/163 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 163/163 [00:00<00:00, 1.64MB/s] vocab.json: 0%| | 0.00/291 [00:00<?, ?B/s] vocab.json: 100%|██████████| 291/291 [00:00<00:00, 3.10MB/s] special_tokens_map.json: 0%| | 0.00/85.0 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 85.0/85.0 [00:00<00:00, 590kB/s] preprocessor_config.json: 0%| | 0.00/159 [00:00<?, ?B/s] preprocessor_config.json: 100%|██████████| 159/159 [00:00<00:00, 2.05MB/s] Device set to use cpu No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision 714eb0f (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english). Using a pipeline without specifying a model name and revision in production is not recommended. config.json: 0%| | 0.00/629 [00:00<?, ?B/s] config.json: 100%|██████████| 629/629 [00:00<00:00, 7.49MB/s] model.safetensors: 0%| | 0.00/268M [00:00<?, ?B/s] model.safetensors: 100%|█████████▉| 268M/268M [00:00<00:00, 376MB/s] tokenizer_config.json: 0%| | 0.00/48.0 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 48.0/48.0 [00:00<00:00, 552kB/s] vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s] vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 49.8MB/s] Device set to use cpu Traceback (most recent call last): File "/home/user/app/app.py", line 63, in <module> gr.Image('Te Ipukarea logo.png',interactive=False,image_mode='L',label=' ').style(height=54, width=150) AttributeError: 'Image' object has no attribute 'style'. Did you mean: 'scale'?

Container logs: