Xenova(@xenovacom) 's Twitter Profileg
Xenova

@xenovacom

Bringing the power of machine learning to the web. Currently working on Transformers.js (@huggingface πŸ€—)

ID:4560264219

linkhttps://github.com/xenova/transformers.js calendar_today21-12-2015 20:07:35

830 Tweets

6,1K Followers

284 Following

Fleetwood(@fleetwood___) 's Twitter Profile Photo

🚨 Phi-3 is now live on a Space! 🚨

Run a 3.8B parameter model offline, entirely in the browser 🏎️

Try it out for yourself: huggingface.co/spaces/FL33TW0…

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Fleetwood(@fleetwood___) 's Twitter Profile Photo

🚨 Phi-3 running in the browser 🚨

Hits about 20 tok/s 🏎️ Literally 3 lines of JS.

Still some kinks to iron out, coming to Ratchet 0.4.0 soon.

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Lichin Lin(@lichinlin) 's Twitter Profile Photo

Figma plugin that runs Meta Segment Anything model w/ WebGPU is too good! we are able to remove backgrounds or isolate objects in less than 2 seconds πŸͺ„

(Video is not sped up, + all processing is on client side)

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Victor M(@victormustar) 's Twitter Profile Photo

Mind. Blown. Web browsers can now generate music, and it's πŸ”₯ no servers needed, it all happens right in your browser.

⬇️ Check out the link below and get ready to jam!

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Xenova(@xenovacom) 's Twitter Profile Photo

Meta's Segment Anything Model (SAM) can now run in your browser w/ WebGPU (+ fp16), meaning up to 8x faster image encoding (10s β†’ 1.25s)! 🀯⚑️

Video is not sped up! Everything runs 100% locally thanks to πŸ€— Transformers.js and onnxruntime-web!

πŸ”— Demo: hf.co/spaces/Xenova/…

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Xenova(@xenovacom) 's Twitter Profile Photo

Snowflake just released Arctic Embed, a collection of open-source text embedding models optimized for retrieval accuracy and efficiency! ❄️

πŸ“„ Apache 2.0 license
🌐 Great for in-browser use w/ πŸ€— Transformers.js (22 β†’ 335 M params)
⚑️ WebGPU-accelerated (>120x faster than WASM)

Snowflake just released Arctic Embed, a collection of open-source text embedding models optimized for retrieval accuracy and efficiency! ❄️ πŸ“„ Apache 2.0 license 🌐 Great for in-browser use w/ πŸ€— Transformers.js (22 β†’ 335 M params) ⚑️ WebGPU-accelerated (>120x faster than WASM)
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