runtime error

back (most recent call last): File "/home/user/app/app.py", line 40, in <module> pipe = pipeline( File "/home/user/.local/lib/python3.10/site-packages/optimum/pipelines/pipelines_base.py", line 357, in pipeline model, model_id, tokenizer, feature_extractor = MAPPING_LOADING_FUNC[accelerator]( File "/home/user/.local/lib/python3.10/site-packages/optimum/pipelines/pipelines_base.py", line 207, in load_bettertransformer model = BetterTransformer.transform(model, **kwargs) File "/usr/local/lib/python3.10/contextlib.py", line 79, in inner return func(*args, **kwds) File "/home/user/.local/lib/python3.10/site-packages/optimum/bettertransformer/transformation.py", line 228, in transform raise NotImplementedError( NotImplementedError: The model type swin is not yet supported to be used with BetterTransformer. Feel free to open an issue at https://github.com/huggingface/optimum/issues if you would like this model type to be supported. Currently supported models are: dict_keys(['albert', 'bark', 'bart', 'bert', 'bert-generation', 'blenderbot', 'bloom', 'camembert', 'blip-2', 'clip', 'codegen', 'data2vec-text', 'deit', 'distilbert', 'electra', 'ernie', 'fsmt', 'falcon', 'gpt2', 'gpt_bigcode', 'gptj', 'gpt_neo', 'gpt_neox', 'hubert', 'layoutlm', 'llama', 'm2m_100', 'marian', 'markuplm', 'mbart', 'opt', 'pegasus', 'rembert', 'prophetnet', 'roberta', 'roc_bert', 'roformer', 'splinter', 'tapas', 't5', 'vilt', 'vit', 'vit_mae', 'vit_msn', 'wav2vec2', 'whisper', 'xlm-roberta', 'yolos']). During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 49, in <module> pipe = pipeline("image-classification", model, device=device) File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 938, in pipeline raise Exception( Exception: Impossible to guess which image processor to use. Please provide a PreTrainedImageProcessor class or a path/identifier to a pretrained image processor.

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