README.md

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title: README
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Welcome to the official Hugging Face organisation for Apple!

Apple Core ML

Build intelligence into your apps using machine learning models from the research community designed for Core ML.

Image Classification

• FastViT, a small and very fast model family for image classification.

Image Segmentation

• DETR. DEtection TRansformer (DETR) allows semantic segmentation on iOS devices, where each pixel in an image is classified according to the most probable category it belongs to.

Depth Estimation

• Depth Anything is a state of the art model for monocular depth estimation.

Text-to-Image Generation

• Stable Diffusion – Core ML versions of Stable Diffusion models for image generation on Apple Silicon.

Apple Machine Learning Research

Open research to enable the community to deliver amazing experiences that improve the lives of millions of people every day.

• OpenELM Base | Instruct
• MobileCLIP
• DataCompDR
• TiC-CLIP
• FLAIR

Other resources

• Hugging Face CoreML Examples – Run CoreML models like FastViT, DETR and DepthAnything with two lines of code!
• Apple Model Gallery – Build intelligence into your apps using machine learning models from the research community designed for Core ML.
• apple/ml-stable-diffusion – Library to run Stable Diffusion on Apple Silicon with Core ML.
• huggingface/swift-coreml-diffusers – Demo app that shows how to integrate ml-stable-diffusion in a native Swift application.
• huggingface/swift-transformers – Swift package to run transformers models on Apple Silicon with Core ML.