Instructions to use riversnow/so101-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use riversnow/so101-segmentation-model with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("riversnow/so101-segmentation-model") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da89df7b882374df33004f1700f64d566ed223351d5d7e8a6521d695961298d9
- Size of remote file:
- 1.95 MB
- SHA256:
- 2760f02141ce280bb2c90254978cb9f093132372facfbaacac32adc2feb88f00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.