Tag

#core-ml

Every item tagged core-ml, newest first.

4 items

SOTA OCR with Core ML and dots.ocr

The dots.ocr library, optimized for Core ML, achieves state-of-the-art OCR performance on handwritten text recognition tasks. It provides a simple API for integrating OCR capabilities into iOS applications. You can use dots.ocr to build accurate text extraction features. The library's performance is competitive with commercial solutions.

Key takeaways

dots.ocr achieves SOTA performance on handwritten text recognition.
Optimized for Core ML, suitable for iOS apps.
Simple API for easy integration.

HHugging Face Blog#core-ml #ocr #ios

modelsJul 22

WWDC 24: Running Mistral 7B with Core ML

Apple announced Mistral 7B support for Core ML at WWDC 24, enabling on-device deployment of the 7B parameter model. This allows developers to integrate Mistral 7B into iOS and macOS apps with optimized performance and reduced latency. You can deploy Mistral 7B on Apple devices using Core ML tools and APIs. The integration aims to improve app responsiveness and user experience.

Key takeaways

Mistral 7B now supported on Apple Core ML.
Enables on-device deployment for iOS and macOS apps.
Optimized performance and reduced latency.

HHugging Face Blog#on-device-llm #core-ml #apple

modelsJul 27

Stable Diffusion XL on Mac with Advanced Core ML Quantization

Hugging Face has optimized Stable Diffusion XL for Mac using Core ML quantization, enabling faster and more efficient image generation. This optimization allows for local deployment on Mac devices, reducing reliance on cloud services. You can now run Stable Diffusion XL natively on Mac hardware. The optimized model is available through the Hugging Face Hub.

Key takeaways

Stable Diffusion XL optimized for Mac with Core ML.
Faster and more efficient image generation locally.
Available on Hugging Face Hub for native deployment.

HHugging Face Blog#core-ml #local-deployment #image-generation

modelsJun 15

Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac

Hugging Face has optimized Stable Diffusion for Apple's Core ML, enabling faster inference on iPhone, iPad, and Mac devices. This optimization allows for local deployment of text-to-image models with improved performance. You can now run Stable Diffusion on Apple devices with reduced latency. The optimized models are available on the Hugging Face Hub.

Key takeaways

Stable Diffusion optimized for Core ML on Apple devices.
Faster inference on iPhone, iPad, and Mac.
Optimized models available on Hugging Face Hub.

HHugging Face Blog#core-ml #stable-diffusion #apple-devices #text-to-image