Instructions to use HaseLab/mahjong-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use HaseLab/mahjong-models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("HaseLab/mahjong-models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c457f1e2e7cd7941e46df0cfae0e25c1f17b393388abdc496c0b6bb7305e716
- Size of remote file:
- 94.7 MB
- SHA256:
- 9137340ef518e33bfbe9893b0bfb69871465bed54103693d1f8a8408f7a3da19
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