Instructions to use lukasiktar11/raspberry-pi-elements-detector-rt-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use lukasiktar11/raspberry-pi-elements-detector-rt-detr with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("lukasiktar11/raspberry-pi-elements-detector-rt-detr") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca94f6f5a674cfd12aed05f39edfabadec83875b219798c9556bb2c20144c1e6
- Size of remote file:
- 132 MB
- SHA256:
- e40af287c08d79f187460639915a2ae206ab43384a3d5edb6584c305dbe985cd
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