Instructions to use jameslahm/yolov10x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use jameslahm/yolov10x with YOLOv10:
from ultralytics import YOLOvv10 model = YOLOvv10.from_pretrained("jameslahm/yolov10x") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add library name
#4
by nielsr HF Staff - opened
This PR ensures that the models get a dedicated "Use in Yolov10" button rather than the current Transformers tag.
jameslahm changed pull request status to merged