Instructions to use jenhung/ECTI_Assessment_GUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use jenhung/ECTI_Assessment_GUI with YOLOv10:
from ultralytics import YOLOvv10 model = YOLOvv10.from_pretrained("jenhung/ECTI_Assessment_GUI") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb99ed6cb25b67d13ac84a6143d32e5eb824949e85022c7d6c44bc80cabc5897
- Size of remote file:
- 591 MB
- SHA256:
- fc5d56707478567c5aba44afe2d965961065b06e0ebe2b55832dbc347e368968
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.