---
title: README
emoji: 📉
colorFrom: gray
colorTo: purple
sdk: static
pinned: false
---

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
- 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)
- [TiC-CLIP](https://huggingface.co/collections/apple/tic-clip-666097407ed2edff959276e0)
- [FLAIR](https://huggingface.co/datasets/apple/flair)
- [DataCompDR](https://huggingface.co/collections/apple/mobileclip-models-datacompdr-data-665789776e1aa2b59f35f7c8)
 
## 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.