Instructions to use sdoerrich97/true_colon_rtdetr_realcolon_s42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sdoerrich97/true_colon_rtdetr_realcolon_s42 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("sdoerrich97/true_colon_rtdetr_realcolon_s42", "<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 sdoerrich97/true_colon_rtdetr_realcolon_s42: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/sdoerrich97/true_colon_rtdetr_realcolon_s42/resolve/main/model.pt
- Command line
-
hf download hf://sdoerrich97/true_colon_rtdetr_realcolon_s42/model.pt
-
curl -L -o model.pt https://huggingface.co/sdoerrich97/true_colon_rtdetr_realcolon_s42/resolve/main/model.pt
132 MB
- Xet hash:
- 4fa37a9e648e2c650088a2e022a564f9362fd3f731ea57915edba0a7ded9bbd8
- Size of remote file:
- 132 MB
- SHA256:
- afe03ca1aed6a428c294a6e302c39916ae4f143f63a849d642e390f244cdce0c
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