Instructions to use BVRA/TurtleDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use BVRA/TurtleDetector 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("BVRA/TurtleDetector", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download training/segmentation_prepare.ipynb from BVRA/TurtleDetector: direct link, hf CLI and curl.
- Browser
- Download file 10.4 kB
-
https://huggingface.co/BVRA/TurtleDetector/resolve/main/training/segmentation_prepare.ipynb
- Command line
-
hf download hf://BVRA/TurtleDetector/training/segmentation_prepare.ipynb
-
curl -L -o segmentation_prepare.ipynb https://huggingface.co/BVRA/TurtleDetector/resolve/main/training/segmentation_prepare.ipynb
10.4 kB