Image Classification
ultralytics
LiteRT
Bengali
English
yolo26-cls
agriculture
bangladesh
crop-disease
yolo26
on-device
brassica
chashibhai
Instructions to use Shaq2/chashibhai-brassica-disease-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Shaq2/chashibhai-brassica-disease-cls with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Shaq2/chashibhai-brassica-disease-cls") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1de70b09e7e29ca4c7b164ae83eea49d7d8c021a33e4c40a4afcc92a1470e35d
- Size of remote file:
- 10.9 MB
- SHA256:
- 92b8e9cf8030bad4170e694f6c19230157a367f460af3e2fcbfbf3a4c8092c4c
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