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Xenovaย 
posted an update 3 days ago
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2227
NEW: Real-time conversational AI models can now run 100% locally in your browser! ๐Ÿคฏ

๐Ÿ” Privacy by design (no data leaves your device)
๐Ÿ’ฐ Completely free... forever
๐Ÿ“ฆ Zero installation required, just visit a website
โšก๏ธ Blazingly-fast WebGPU-accelerated inference

Try it out: webml-community/conversational-webgpu

For those interested, here's how it works:
- Silero VAD for voice activity detection
- Whisper for speech recognition
- SmolLM2-1.7B for text generation
- Kokoro for text to speech

Powered by Transformers.js and ONNX Runtime Web! ๐Ÿค— I hope you like it!
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reach-vbย 
posted an update 20 days ago
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3691
hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! ๐Ÿ’ฅ

as you know we're in the process of upgrading our storage backend to xet (which helps us scale and offer blazingly fast upload/ download speeds too): https://huggingface.co/blog/xet-on-the-hub and now that we are certain that the backend can scale with even big models like Llama 4/ Qwen 3 - we;re moving to the next phase of inviting impactful orgs and users on the hub over as you are a big part of the open source ML community - we would love to onboard you next and create some excitement about it in the community too!

in terms of actual steps - it should be as simple as one of the org admins to join hf.co/join/xet - we'll take care of the rest.

p.s. you'd need to have a the latest hf_xet version of huggingface_hub lib but everything else should be the same: https://huggingface.co/docs/hub/storage-backends#using-xet-storage

p.p.s. this is fully backwards compatible so everything will work as it should! ๐Ÿค—
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Xenovaย 
posted an update about 1 month ago
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8087
Introducing the ONNX model explorer: Browse, search, and visualize neural networks directly in your browser. ๐Ÿคฏ A great tool for anyone studying Machine Learning! We're also releasing the entire dataset of graphs so you can use them in your own projects! ๐Ÿค—

Check it out! ๐Ÿ‘‡
Demo: onnx-community/model-explorer
Dataset: onnx-community/model-explorer
Source code: https://github.com/xenova/model-explorer
Xenovaย 
posted an update about 2 months ago
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2686
Reasoning models like o3 and o4-mini are advancing faster than ever, but imagine what will be possible when they can run locally in your browser! ๐Ÿคฏ

Well, with ๐Ÿค— Transformers.js, you can do just that! Here's Zyphra's new ZR1 model running at over 100 tokens/second on WebGPU! โšก๏ธ

Giving models access to browser APIs (like File System, Screen Capture, and more) could unlock an entirely new class of web experiences that are personalized, interactive, and run locally in a secure, sandboxed environment.

For now, try out the demo! ๐Ÿ‘‡
webml-community/Zyphra-ZR1-WebGPU
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Xenovaย 
posted an update 4 months ago
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13438
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. โšก๏ธ

Generate 10 seconds of speech in ~1 second for $0.

What will you build? ๐Ÿ”ฅ
webml-community/kokoro-webgpu

The most difficult part was getting the model running in the first place, but the next steps are simple:
โœ‚๏ธ Implement sentence splitting, allowing for streamed responses
๐ŸŒ Multilingual support (only phonemization left)

Who wants to help?
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Xenovaย 
posted an update 5 months ago
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7827
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 ๐Ÿค— Transformers.js. WebGPU support coming soon!
๐Ÿ‘‰ npm i kokoro-js ๐Ÿ‘ˆ

Try it out yourself: webml-community/kokoro-web
Link to models/samples: onnx-community/Kokoro-82M-ONNX

You can get started in just a few lines of code!
import { KokoroTTS } from "kokoro-js";

const tts = await KokoroTTS.from_pretrained(
  "onnx-community/Kokoro-82M-ONNX",
  { dtype: "q8" }, // fp32, fp16, q8, q4, q4f16
);

const text = "Life is like a box of chocolates. You never know what you're gonna get.";
const audio = await tts.generate(text,
  { voice: "af_sky" }, // See `tts.list_voices()`
);
audio.save("audio.wav");

Huge kudos to the Kokoro TTS community, especially taylorchu for the ONNX exports and Hexgrad for the amazing project! None of this would be possible without you all! ๐Ÿค—

The model is also extremely resilient to quantization. The smallest variant is only 86 MB in size (down from the original 326 MB), with no noticeable difference in audio quality! ๐Ÿคฏ
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