Image Classification
ultralytics
LiteRT
Bengali
English
yolo26-cls
agriculture
bangladesh
crop-disease
yolo26
on-device
rice
chashibhai
Instructions to use Shaq2/chashibhai-rice-disease-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Shaq2/chashibhai-rice-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-rice-disease-cls") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd9e45384a907e05929efa7a6b2845fee3ca8a6f981371310561d475ef2d92a0
- Size of remote file:
- 3.12 MB
- SHA256:
- f9b5e2de9e23c49ba3ccc3a54645d24a4aab991897a7f18aa599c212957ad478
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