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:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("crumeike/tornadonet-checkpoints") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add model card and metadata for TornadoNet
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face. I've updated the model card to include relevant metadata for object detection and the ultralytics library. I also added a link to the paper, the GitHub repository, and a sample usage snippet to help users run inference with these checkpoints. This will improve the discoverability and usability of your models on the Hub.
crumeike changed pull request status to merged