Instructions to use crumeike/tornadonet-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use crumeike/tornadonet-checkpoints with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("crumeike/tornadonet-checkpoints", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- tornadonet-rtdetr-l-baseline
- tornadonet-rtdetr-l-ordinal-lambda0.05
- tornadonet-rtdetr-l-ordinal-psi0.5-k1
- tornadonet-rtdetr-x-baseline
- tornadonet-yolo11-l-baseline
- tornadonet-yolo11-n-baseline
- tornadonet-yolo11-x-baseline
- tornadonet-yolov8-l-baseline
- tornadonet-yolov8-n-baseline
- tornadonet-yolov8-x-baseline
- 1.52 kB
- 2.94 kB