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 with Core ML

Core ML is optimized for on-device performance of a broad variety of model types by leveraging Apple Silicon and minimizing memory footprint and power consumption.

• Core ML Models
  • FastViT: Image Classification
  • Depth Anything: Depth estimation
  • DETR Resnet50: Semantic Segmentation
  • Additional Core ML Model Gallery Models
  • Stable Diffusion Core ML models
  • Hugging Face Core ML Examples

Apple Machine Learning Research

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

• Models
  • OpenELM: open, Transformer-based language model. Base | Instruct
  • MobileCLIP: Mobile-friendly image-text models.
• Datasets
  • FLAIR: A large image dataset for federated learning.
  • DataCompDR: Improved datasets for training image-text models.
• Benchmarks
  • TiC-CLIP: Benchmark for the design of efficient continual learning of image-text models over years

Select Highlights and Other Resources

• Hugging Face CoreML Examples – Run Core ML models with two lines of code!
• Apple Model Gallery
• New features in Core ML Tools 8
• Apple Core ML Stable Diffusion – Library to run Stable Diffusion on Apple Silicon with Core ML.
• Hugging Face Blog Posts
  • Releasing Swift Transformers: Run On-Device LLMs in Apple Devices (Aug, 2023)
  • Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac
  • Using Stable Diffusion with Core ML on Apple Silicon