# swift-transformers

Published articles for swift-transformers.

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

DevFeed: [Introducing swift-huggingface: The Complete Swift Client for Hugging Face](<https://devfeed.tech/articles/introducing-swift-huggingface-the-complete-swift-client-for-hugging-face-7495.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/swift-huggingface>)

Author: Mattt

Published: 2025-12-05T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Swift](<https://devfeed.tech/topics/swift.md>), [API](<https://devfeed.tech/topics/api.md>), [OAuth 2.0](<https://devfeed.tech/topics/oauth2.md>), [swift-transformers](<https://devfeed.tech/topics/swift-transformers.md>), [OAuth](<https://devfeed.tech/topics/oauth.md>), [Caching](<https://devfeed.tech/topics/caching.md>), [spaces](<https://devfeed.tech/topics/spaces.md>), [datasets](<https://devfeed.tech/topics/datasets.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [authentication](<https://devfeed.tech/tags/authentication.md>), [cache](<https://devfeed.tech/tags/cache.md>), [community](<https://devfeed.tech/tags/community.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [swift](<https://devfeed.tech/tags/swift.md>), [swift-transformers](<https://devfeed.tech/tags/swift-transformers.md>), [xet](<https://devfeed.tech/tags/xet.md>)

### AI overview

The article introduces swift-huggingface, a complete Swift client for Hugging Face. It focuses on reliable large-file downloads, resumable transfers, Python-compatible caching, clearer authentication, OAuth 2.0 for user-facing apps, and broad Hub API coverage for models, datasets, and spaces.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Swift Transformers Reaches 1.0 - and Looks to the Future

DevFeed: [Swift Transformers Reaches 1.0 - and Looks to the Future](<https://devfeed.tech/articles/swift-transformers-reaches-1-0-and-looks-to-the-future-7496.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/swift-transformers>)

Author: Pedro Cuenca; Christopher Fleetwood; Mattt; Vaibhav Srivastav

Published: 2025-09-26T00:00:00Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [swift-transformers](<https://devfeed.tech/topics/swift-transformers.md>), [MLX](<https://devfeed.tech/topics/mlx.md>), [Swift](<https://devfeed.tech/topics/swift.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [apple](<https://devfeed.tech/tags/apple.md>), [asr](<https://devfeed.tech/tags/asr.md>), [coreml](<https://devfeed.tech/tags/coreml.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llms](<https://devfeed.tech/tags/llms.md>), [local](<https://devfeed.tech/tags/local.md>), [mlx](<https://devfeed.tech/tags/mlx.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [swift](<https://devfeed.tech/tags/swift.md>), [swift-transformers](<https://devfeed.tech/tags/swift-transformers.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

### AI overview

swift-transformers reaches version 1.0 as a Swift library for running local models on Apple Silicon, including iPhones. It combines input preparation, Hugging Face Hub access, local caching and offline downloads, and wrappers for running Core ML-converted LLMs. The release establishes a stable foundation for Apple-focused local inference and future MLX and agentic use cases.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## WWDC 24: Running Mistral 7B with Core ML

DevFeed: [WWDC 24: Running Mistral 7B with Core ML](<https://devfeed.tech/articles/wwdc-24-running-mistral-7b-with-core-ml-7353.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/mistral-coreml>)

Author: Pedro Cuenca; Christopher Fleetwood; Vaibhav Srivastav; Omar Sanseviero

Published: 2024-07-22T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Swift](<https://devfeed.tech/topics/swift.md>), [swift-transformers](<https://devfeed.tech/topics/swift-transformers.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [iOS](<https://devfeed.tech/topics/ios.md>), [macOS](<https://devfeed.tech/topics/macos.md>)

Tags: [ai-models](<https://devfeed.tech/tags/ai-models.md>), [apple](<https://devfeed.tech/tags/apple.md>), [coreml](<https://devfeed.tech/tags/coreml.md>), [guide](<https://devfeed.tech/tags/guide.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mistral](<https://devfeed.tech/tags/mistral.md>), [ml](<https://devfeed.tech/tags/ml.md>), [swift](<https://devfeed.tech/tags/swift.md>), [swift-transformers](<https://devfeed.tech/tags/swift-transformers.md>), [wwdc](<https://devfeed.tech/tags/wwdc.md>)

### AI overview

A hands-on guide to running the Mistral 7B language model on Apple Silicon using Core ML and Swift. It covers converting or downloading Core ML models, running inference, and using new Core ML tensor features introduced with iOS 18 and macOS Sequoia, including execution across the CPU, GPU, and Neural Engine.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.