Instructions to use SharpAI/yolo11s-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use SharpAI/yolo11s-coreml 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("SharpAI/yolo11s-coreml", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download yolo11s_mlpackage_auto.zip from SharpAI/yolo11s-coreml: direct link, hf CLI and curl.
- Browser
- Download file 17.6 MB
-
https://huggingface.co/SharpAI/yolo11s-coreml/resolve/main/yolo11s_mlpackage_auto.zip
- Command line
-
hf download hf://SharpAI/yolo11s-coreml/yolo11s_mlpackage_auto.zip
-
curl -L -o yolo11s_mlpackage_auto.zip https://huggingface.co/SharpAI/yolo11s-coreml/resolve/main/yolo11s_mlpackage_auto.zip
17.6 MB
- Xet hash:
- 1e46bc9bdf733d07a261550eb33d28f1462fa290a6f8a29f3633aa8a8742ab84
- Size of remote file:
- 17.6 MB
- SHA256:
- 8c2e879333b04ef51ae64479fd48840832cdc24ff7d79dfdea026101940dcb4d
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