Instructions to use albitro/phoenix_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use albitro/phoenix_detection with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("albitro/phoenix_detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a77e61ad611c62f33b8667faa88697f1e42980a76b253da8f1d093af7969ff69
- Size of remote file:
- 20.3 MB
- SHA256:
- a09bc762875f61b0a822231ae12f15aeedb0408d62fcb03d9672c97a800ee989
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.