As someone who learnt so much by watching @shiffman.lol's coding videos in high school, I never imagined that one day my own library would feature on his channel! 🥹 If you're interested in learning more about 🤗 Transformers.js, I highly recommend checking it out! 👉 www.youtube.com/watch?v=KR61...

The next generation of AI-powered websites is going to be WILD! 🤯 In-browser tool calling & MCP is finally here, allowing LLMs to interact with websites programmatically. To show what's possible, I built a demo using Liquid AI's new LFM2 model, powered by 🤗 Transformers.js.

Introducing Voxtral WebGPU: State-of-the-art audio transcription directly in your browser! 🤯 🗣️ Transcribe videos, meeting notes, songs and more 🔐 Runs on-device, meaning no data is sent to a server 🌎 Multilingual (8 languages) 🤗 Completely free (forever) & open source

A community member trained a tiny Llama model (23M parameters) on 3 million high-quality @lichess.org games, then deployed it to run entirely in-browser with 🤗 Transformers.js! Super cool! 🔥 It has an estimated ELO of ~1400... can you beat it? 👀 (runs on both mobile and desktop)

We did it! Kokoro TTS (v1.0) can now run 100% locally in your browser w/ WebGPU acceleration. Real-time text-to-speech without a server. ⚡️ Generate 10 seconds of speech in ~1 second for $0. What will you build? 🔥

Introducing Kokoro.js, a new JavaScript library for running Kokoro TTS, an 82 million parameter text-to-speech model, 100% locally in the browser w/ WASM. Powered by 🤗 Transformers.js. WebGPU support coming soon! 👉 npm i kokoro-js 👈 Link to demo (+ sample code) in 🧵

Is this the future of AI browser agents? 👀 WebGPU-accelerated reasoning LLMs are now supported in Transformers.js! 🤯 Here's MiniThinky-v2 (1B) running 100% locally in the browser at ~60 tps (no API calls)! I can't wait to see what you build with it! Demo + source code in 🧵👇

First project of 2025: Vision Transformer Explorer I built a web app to interactively explore the self-attention maps produced by ViTs. This explains what the model is focusing on when making predictions, and provides insights into its inner workings! 🤯 Try it out yourself! 👇

Introducing Moonshine Web: real-time speech recognition running 100% locally in your browser! 🚀 Faster and more accurate than Whisper 🔒 Privacy-focused (no data leaves your device) ⚡️ WebGPU accelerated (w/ WASM fallback) 🔥 Powered by ONNX Runtime Web and Transformers.js Demo + source code below! 👇

🤗NEW PIECE: ‘Open-source’ is becoming a buzzword for many aspects of modern journalism, including open-source AI. But what is it, and how can journalists benefit from it? @marinaadami.bsky.social spoke to @fdaudens.bsky.social to find out. reutersinstitute.politics.ox.ac.uk/news/journal...

This journalist wants you to try open-source AI: “AI is shiny, but value comes from the ideas people have to use it”

Hugging Face’s Florent Daudens on what open-source AI is, how journalists can use it and why he thinks they should.

reutersinstitute.politics.ox.ac.uk

Introducing TTS WebGPU: The first ever text-to-speech web app built with WebGPU acceleration! 🔥 High-quality and natural speech generation that runs 100% locally in your browser, powered by OuteTTS and Transformers.js. 🤗 Try it out yourself! Demo + source code below 👇

We just released Transformers.js v3.1 and you're not going to believe what's now possible in the browser w/ WebGPU! 🤯 Let's take a look: 1. Janus from Deepseek for unified multimodal understanding and generation (Text-to-Image and Image-Text-to-Text) Demo (+ source code): hf.co/spaces/webml...

WOW! 🤯 Language models are becoming smaller and more capable than ever! Here's SmolLM2 running 100% locally in-browser w/ WebGPU on a 6-year-old GPU. Just look at that speed! ⚡️😍 Powered by 🤗 Transformers.js and ONNX Runtime Web! How many tokens/second do you get? Let me know! 👇

Introducing Transformers.js v3: State-of-the-art Machine Learning for the Web. New features include: ⚡ WebGPU support (up to 100x faster than WASM) 🔢 New quantization formats 🏛 121 supported architectures in total 🤖 Over 1200 pre-converted models Get started with `npm i @huggingface/transformers`