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| title: README | |
| emoji: 📉 | |
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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](https://huggingface.co/collections/coreml-projects/coreml-fastvit-666b0053e54816747071d755), a small and very fast model family for image classification. | |
| <img src="https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/FastViT_2x.png?download=true" width="50%"> | |
| ### Image Segmentation | |
| - [DETR](https://huggingface.co/coreml-projects/coreml-detr-semantic-segmentation). 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. | |
| <img src="https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/DETRSegmentation_2x.png?download=true" width="50%"> | |
| ### Depth Estimation | |
| - [Depth Anything](https://huggingface.co/coreml-projects/coreml-depth-anything-small) is a state of the art model for monocular depth estimation. | |
| <img src="https://huggingface.co/datasets/coreml-projects/documentation-assets/resolve/main/DepthAnything_2x.png?download=true" width="50%"> | |
| ### Text-to-Image Generation | |
| - [Stable Diffusion](https://huggingface.co/collections/apple/core-ml-stable-diffusion-666b3b0f4b5f3d33c67c6bbe) – 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](https://huggingface.co/collections/apple/openelm-pretrained-models-6619ac6ca12a10bd0d0df89e) | [Instruct](https://huggingface.co/collections/apple/openelm-instruct-models-6619ad295d7ae9f868b759ca) | |
| - [MobileCLIP](https://huggingface.co/collections/apple/mobileclip-models-datacompdr-data-665789776e1aa2b59f35f7c8) | |
| - [DataCompDR](https://huggingface.co/collections/apple/mobileclip-models-datacompdr-data-665789776e1aa2b59f35f7c8) | |
| - [TiC-CLIP](https://huggingface.co/collections/apple/tic-clip-666097407ed2edff959276e0) | |
| - [FLAIR](https://huggingface.co/datasets/apple/flair) | |
| ## Other resources | |
| - [Hugging Face CoreML Examples](https://github.com/huggingface/coreml-examples) – Run CoreML models like FastViT, DETR and DepthAnything with two lines of code! | |
| - [Apple Model Gallery](https://developer.apple.com/machine-learning/models/) – Build intelligence into your apps using machine learning models from the research community designed for Core ML. | |
| - [apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) – Library to run Stable Diffusion on Apple Silicon with Core ML. | |
| - [huggingface/swift-coreml-diffusers](https://github.com/huggingface/swift-coreml-diffusers) – Demo app that shows how to integrate `ml-stable-diffusion` in a native Swift application. | |
| - [huggingface/swift-transformers](https://github.com/huggingface/swift-transformers) – Swift package to run transformers models on Apple Silicon with Core ML. |