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#swift

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Introducing swift-huggingface: The Complete Swift Client for Hugging Face

The Hugging Face team has released a new Swift client, swift-huggingface, providing a native integration for Apple ecosystem developers. This client enables direct access to Hugging Face models and services from Swift applications. Builders can now easily integrate Hugging Face capabilities into their iOS, macOS, watchOS, and tvOS projects. The client supports core features like model downloads, inference, and API access.

Key takeaways

Native Swift client for Hugging Face models and services.
Enables integration with iOS, macOS, watchOS, and tvOS apps.
Supports model downloads, inference, and API access.

HHugging Face Blog#hugging-face #swift #apple-ecosystem

modelsAug 8

Releasing Swift Transformers: Run On-Device LLMs in Apple Devices

Hugging Face released Swift Transformers, a library for running on-device LLMs on Apple devices using Core ML. This enables developers to deploy LLMs locally on iOS, iPadOS, and macOS without relying on cloud services. The library supports various models, including open-weights options. You can integrate these models into your apps for faster, more private inference.

Key takeaways

Run LLMs on-device on Apple devices with Swift Transformers.
Supports deployment on iOS, iPadOS, and macOS.
Enables faster, more private inference without cloud reliance.

HHugging Face Blog#on-device-llm #apple-integration #open-source #swift