Instructions to use Sohaibsoussi/vit-beans_leaves_disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sohaibsoussi/vit-beans_leaves_disease with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sohaibsoussi/vit-beans_leaves_disease") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Sohaibsoussi/vit-beans_leaves_disease") model = AutoModelForImageClassification.from_pretrained("Sohaibsoussi/vit-beans_leaves_disease") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4812de432d1d0460490b6cbcede29bbd02a2962cf169bea80962bf7661df6390
- Size of remote file:
- 5.3 kB
- SHA256:
- 9413b32311fe86dc52f3ccf10540515b2f3ea0f800ddbbe1c8a326e98d40e4b3
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