Instructions to use Shadowzer0/Jawi_YOLO_Line_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Shadowzer0/Jawi_YOLO_Line_Detector 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("Shadowzer0/Jawi_YOLO_Line_Detector", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download model.pt from Shadowzer0/Jawi_YOLO_Line_Detector: direct link, hf CLI and curl.
- Browser
- Download file 40.6 MB
-
https://huggingface.co/Shadowzer0/Jawi_YOLO_Line_Detector/resolve/main/model.pt
- Command line
-
hf download hf://Shadowzer0/Jawi_YOLO_Line_Detector/model.pt
-
curl -L -o model.pt https://huggingface.co/Shadowzer0/Jawi_YOLO_Line_Detector/resolve/main/model.pt
40.6 MB
- Xet hash:
- 4af645fe3d465d670e1c5a9cc2be7696c97eadb93a4a37392c0f462d6236f327
- Size of remote file:
- 40.6 MB
- SHA256:
- cda2264e1fe0f14945632444dcc6514db0a1f114722df75b6b0787adda3c0e40
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