Instructions to use mlboydaisuke/YOLO26s-CoreML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use mlboydaisuke/YOLO26s-CoreML with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("mlboydaisuke/YOLO26s-CoreML") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Link the card back to its collection and the request box
Browse files
README.md
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- Upstream authors: [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics), 2026
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- Core ML conversion: john-rocky (Daisuke Majima)
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- Upstream authors: [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics), 2026
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- Core ML conversion: john-rocky (Daisuke Majima)
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<!-- funnel:v1 -->
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---
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**More models in this format:** [Core ML Model Zoo](https://huggingface.co/collections/mlboydaisuke/core-ml-model-zoo-6a7078dc888e7b13efd35631) — 46 models, each with the recipe that produced it.
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**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
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<!-- /funnel:v1 -->
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