Instructions to use orasul/deki-yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use orasul/deki-yolo with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("orasul/deki-yolo") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f0aa3a0000ac86cfd204dea2838020138aa44887decefe659642ecd6a60b0356
- Size of remote file:
- 223 kB
- SHA256:
- 1070c8072dc4a92292a60527c18b65fee396d563ac297589dfab00374aabfdc3
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