Instructions to use Anzhc/Race-Classification-FairFace-YOLOv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Anzhc/Race-Classification-FairFace-YOLOv8 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Anzhc/Race-Classification-FairFace-YOLOv8") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1e128f85517bc2ed70155040cac9aa60bc130ed49a3bc12e71e9c5af457fa92
- Size of remote file:
- 10.3 MB
- SHA256:
- 056cddb8a7b1a923bc58b3a3d4686e66c15fcfb0560a14d1de6c4b7731203909
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