AI & ML interests

ONNX is an open ecosystem for interoperable AI models

XenovaΒ 
posted an update 3 days ago
view post
Post
1894
Okay this is insane... WebGPU-accelerated semantic video tracking, powered by DINOv3 and Transformers.js! 🀯
Demo (+ source code): webml-community/DINOv3-video-tracking

This will revolutionize AI-powered video editors... which can now run 100% locally in your browser, no server inference required (costs $0)! 😍

How does it work? πŸ€”
1️⃣ Generate and cache image features for each frame
2️⃣ Create a list of embeddings for selected patch(es)
3️⃣ Compute cosine similarity between each patch and the selected patch(es)
4️⃣ Highlight those whose score is above some threshold

... et voilΓ ! πŸ₯³

You can also make selections across frames to improve temporal consistency! This is super useful if the object changes its appearance slightly throughout the video.

Excited to see what the community builds with it!
XenovaΒ 
posted an update 19 days ago
view post
Post
3925
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 πŸ€— Transformers.js: LiquidAI/LFM2-WebGPU

As always, the demo is open source (which you can find under the "Files" tab), so I'm excited to see how the community builds upon this! πŸš€
  • 1 reply
Β·
XenovaΒ 
posted an update about 1 month ago
view post
Post
2992
Introducing Voxtral WebGPU: State-of-the-art audio transcription directly in your browser! 🀯
πŸ—£οΈ Transcribe videos, meeting notes, songs and more
πŸ” Runs on-device, meaning no data is sent to a server
🌎 Multilingual (8 languages)
πŸ€— Completely free (forever) & open source

That's right, we're running Mistral's new Voxtral-Mini-3B model 100% locally in-browser on WebGPU, powered by Transformers.js and ONNX Runtime Web! πŸ”₯

Try it out yourself! πŸ‘‡
webml-community/Voxtral-WebGPU
reach-vbΒ 
posted an update 2 months ago
view post
Post
4220
Excited to onboard FeatherlessAI on Hugging Face as an Inference Provider - they bring a fleet of 6,700+ LLMs on-demand on the Hugging Face Hub 🀯

Starting today, you'd be able to access all those LLMs (OpenAI compatible) on HF model pages and via OpenAI client libraries too! πŸ’₯

Go, play with it today: https://huggingface.co/blog/inference-providers-featherless

P.S. They're also bringing on more GPUs to support all your concurrent requests!
  • 1 reply
Β·
XenovaΒ 
posted an update 3 months ago
view post
Post
7033
NEW: Real-time conversational AI models can now run 100% locally in your browser! 🀯

πŸ” Privacy by design (no data leaves your device)
πŸ’° Completely free... forever
πŸ“¦ Zero installation required, just visit a website
⚑️ 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! πŸ€— I hope you like it!
Β·
echarlaixΒ 
in onnx/export 3 months ago

tag-onnx

1
#18 opened 3 months ago by
echarlaix

write-discussion

#17 opened 3 months ago by
echarlaix

torch-requirements

#16 opened 3 months ago by
echarlaix

hf-oauth

#15 opened 3 months ago by
echarlaix

fix

#14 opened 3 months ago by
echarlaix

onnx-export-fix

4
#13 opened 3 months ago by
echarlaix
reach-vbΒ 
posted an update 3 months ago
view post
Post
4286
hey hey @mradermacher - VB from Hugging Face here, we'd love to onboard you over to our optimised xet backend! πŸ’₯

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! πŸ€—
Β·
XenovaΒ 
posted an update 4 months ago
view post
Post
8380
Introducing the ONNX model explorer: Browse, search, and visualize neural networks directly in your browser. 🀯 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! πŸ€—

Check it out! πŸ‘‡
Demo: onnx-community/model-explorer
Dataset: onnx-community/model-explorer
Source code: https://github.com/xenova/model-explorer
XenovaΒ 
posted an update 4 months ago
view post
Post
2894
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! 🀯

Well, with πŸ€— Transformers.js, you can do just that! Here's Zyphra's new ZR1 model running at over 100 tokens/second on WebGPU! ⚑️

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! πŸ‘‡
webml-community/Zyphra-ZR1-WebGPU
  • 1 reply
Β·
XenovaΒ 
posted an update 7 months ago
view post
Post
13838
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? πŸ”₯
webml-community/kokoro-webgpu

The most difficult part was getting the model running in the first place, but the next steps are simple:
βœ‚οΈ Implement sentence splitting, allowing for streamed responses
🌍 Multilingual support (only phonemization left)

Who wants to help?
Β·
XenovaΒ 
posted an update 7 months ago
view post
Post
8722
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 πŸ€— Transformers.js. WebGPU support coming soon!
πŸ‘‰ npm i kokoro-js πŸ‘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! πŸ€—

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! 🀯
Β·