Apple
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Welcome to the official Hugging Face organization for Apple!
Apple Core ML – Build intelligence into your apps
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.
- Models
- Depth Anything Core ML: Depth estimation
- DETR Resnet50 Core ML: Semantic Segmentation
- FastViT Core ML: Image Classification
- Stable Diffusion Core ML
- Additional Core ML Model Gallery Models
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 Base | Instruct: open, Transformer-based language model.
- 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
- Apple Core ML Stable Diffusion – Library to run Stable Diffusion on Apple Silicon with Core ML.
- Hugging Face Blog Posts
models
67
apple/mobileclip_b_timm
Image Classification
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Updated
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23
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1
apple/TiC-CLIP-bestpool-sequential
Zero-Shot Image Classification
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Updated
apple/TiC-CLIP-bestpool-oracle
Zero-Shot Image Classification
•
Updated
apple/TiC-CLIP-bestpool-cumulative
Zero-Shot Image Classification
•
Updated
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2
apple/TiC-CLIP-basic-sequential
Zero-Shot Image Classification
•
Updated
apple/TiC-CLIP-basic-oracle
Zero-Shot Image Classification
•
Updated
apple/TiC-CLIP-basic-cumulative
Zero-Shot Image Classification
•
Updated
•
1
apple/coreml-resnet-50
Image Classification
•
Updated
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30
•
5
apple/coreml-detr-semantic-segmentation
Image Segmentation
•
Updated
•
24
•
11
apple/coreml-depth-anything-small
Depth Estimation
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Updated
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82
•
23