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Xenova
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posted
an
update
1 day ago
Post
2169
Have you tried out π€ Transformers.js v3? Here are the new features:
β‘ WebGPU support (up to 100x faster than WASM)
π’ New quantization formats (dtypes)
π 120 supported architectures in total
π 25 new example projects and templates
π€ Over 1200 pre-converted models
π Node.js (ESM + CJS), Deno, and Bun compatibility
π‘ A new home on GitHub and NPM
Get started with
Learn more in our blog post: https://huggingface.co/blog/transformersjs-v3
β‘ WebGPU support (up to 100x faster than WASM)
π’ New quantization formats (dtypes)
π 120 supported architectures in total
π 25 new example projects and templates
π€ Over 1200 pre-converted models
π Node.js (ESM + CJS), Deno, and Bun compatibility
π‘ A new home on GitHub and NPM
Get started with
npm i @huggingface/transformers.Learn more in our blog post: https://huggingface.co/blog/transformersjs-v3
- 2 replies
reacted to
do-me's
post with ππ
2 months ago
Post
3241
SemanticFinder now supports WebGPU thanks to
@Xenova
's efforts with transformers.js v3!
Expect massive performance gains. Inferenced a whole book with 46k chunks in <5min. If your device doesn't support #WebGPU use the classic Wasm-based version:
- WebGPU: https://do-me.github.io/SemanticFinder/webgpu/
- Wasm: https://do-me.github.io/SemanticFinder/
WebGPU harnesses the full power of your hardware, no longer being restricted to just the CPU. The speedup is significant (4-60x) for all kinds of devices: consumer-grade laptops, heavy Nvidia GPU setups or Apple Silicon. Measure the difference for your device here: Xenova/webgpu-embedding-benchmark
Chrome currently works out of the box, Firefox requires some tweaking.
WebGPU + transformers.js allows to build amazing applications and make them accessible to everyone. E.g. SemanticFinder could become a simple GUI for populating your (vector) DB of choice. See the pre-indexed community texts here: do-me/SemanticFinder
Happy to hear your ideas!
Expect massive performance gains. Inferenced a whole book with 46k chunks in <5min. If your device doesn't support #WebGPU use the classic Wasm-based version:
- WebGPU: https://do-me.github.io/SemanticFinder/webgpu/
- Wasm: https://do-me.github.io/SemanticFinder/
WebGPU harnesses the full power of your hardware, no longer being restricted to just the CPU. The speedup is significant (4-60x) for all kinds of devices: consumer-grade laptops, heavy Nvidia GPU setups or Apple Silicon. Measure the difference for your device here: Xenova/webgpu-embedding-benchmark
Chrome currently works out of the box, Firefox requires some tweaking.
WebGPU + transformers.js allows to build amazing applications and make them accessible to everyone. E.g. SemanticFinder could become a simple GUI for populating your (vector) DB of choice. See the pre-indexed community texts here: do-me/SemanticFinder
Happy to hear your ideas!
- 1 reply
We have Transformers.js, the JavaScript/WASM/WebGPU port of the python library, which supports ~100 different architectures.
Docs: https://huggingface.co/docs/transformers.js
Repo: http://github.com/xenova/transformers.js
Is that the kind of thing you're looking for? :)
posted
an
update
3 months ago
Post
13045
I can't believe this... Phi-3.5-mini (3.8B) running in-browser at ~90 tokens/second on WebGPU w/ Transformers.js and ONNX Runtime Web! π€― Since everything runs 100% locally, no messages are sent to a server β a huge win for privacy!
- π€ Demo: webml-community/phi-3.5-webgpu
- π§βπ» Source code: https://github.com/huggingface/transformers.js-examples/tree/main/phi-3.5-webgpu
- π€ Demo: webml-community/phi-3.5-webgpu
- π§βπ» Source code: https://github.com/huggingface/transformers.js-examples/tree/main/phi-3.5-webgpu
- 11 replies
posted
an
update
3 months ago
Post
14863
I'm excited to announce that Transformers.js V3 is finally available on NPM! π₯ State-of-the-art Machine Learning for the web, now with WebGPU support! π€―β‘οΈ
Install it from NPM with:
πππ π @πππππππππππ/ππππππππππππ
or via CDN, for example: https://v2.scrimba.com/s0lmm0qh1q
Segment Anything demo: webml-community/segment-anything-webgpu
Install it from NPM with:
πππ π @πππππππππππ/ππππππππππππ
or via CDN, for example: https://v2.scrimba.com/s0lmm0qh1q
Segment Anything demo: webml-community/segment-anything-webgpu
- 5 replies
posted
an
update
4 months ago
Post
7879
Introducing Whisper Diarization: Multilingual speech recognition with word-level timestamps and speaker segmentation, running 100% locally in your browser thanks to π€ Transformers.js!
Tested on this iconic Letterman interview w/ Grace Hopper from 1983!
- Demo: Xenova/whisper-speaker-diarization
- Source code: Xenova/whisper-speaker-diarization
Tested on this iconic Letterman interview w/ Grace Hopper from 1983!
- Demo: Xenova/whisper-speaker-diarization
- Source code: Xenova/whisper-speaker-diarization
- 1 reply
posted
an
update
4 months ago
Post
6701
Introducing Whisper Timestamped: Multilingual speech recognition with word-level timestamps, running 100% locally in your browser thanks to π€ Transformers.js! Check it out!
π Xenova/whisper-word-level-timestamps π
This unlocks a world of possibilities for in-browser video editing! π€― What will you build? π
Source code: https://github.com/xenova/transformers.js/tree/v3/examples/whisper-word-timestamps
π Xenova/whisper-word-level-timestamps π
This unlocks a world of possibilities for in-browser video editing! π€― What will you build? π
Source code: https://github.com/xenova/transformers.js/tree/v3/examples/whisper-word-timestamps
- 1 reply
replied to
their
post
4 months ago
Note: Since the API is experimental, you will need to install Chrome Dev/Canary version 127 or higher, and enable a few flags to get it working (see blog post for more detailed instructions)
posted
an
update
4 months ago
Post
6073
Chrome's new
We've also added experimental support to π€ Transformers.js!
- Demo: Xenova/experimental-built-in-ai-chat
- Blog post: https://huggingface.co/blog/Xenova/run-gemini-nano-in-your-browser
windowβ.ai feature is going to change the web forever! π€― It allows you to run Gemini Nano, a powerful 3.25B parameter LLM, 100% locally in your browser!We've also added experimental support to π€ Transformers.js!
- Demo: Xenova/experimental-built-in-ai-chat
- Blog post: https://huggingface.co/blog/Xenova/run-gemini-nano-in-your-browser
-
-
- 5 replies
posted
an
update
5 months ago
Post
5953
Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! π€π€―
It supports tasks like image captioning, optical character recognition, object detection, and many more! π WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
It supports tasks like image captioning, optical character recognition, object detection, and many more! π WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
reacted to
dvilasuero's
post with ππ₯
5 months ago
Post
7933
Today is a huge day in Argillaβs history. We couldnβt be more excited to share this with the community: weβre joining Hugging Face!
Weβre embracing a larger mission, becoming part of a brilliant and kind team and a shared vision about the future of AI.
Over the past year, weβve been collaborating with Hugging Face on countless projects: launching partner of Docker Spaces, empowering the community to clean Alpaca translations into Spanish and other languages, launching argilla/notus-7b-v1 building on Zephyrβs learnings, the Data is Better Together initiative with hundreds of community contributors, or releasing argilla/OpenHermesPreferences, one of the largest open preference tuning datasets
After more than 2,000 Slack messages and over 60 people collaborating for over a year, it already felt like we were part of the same team, pushing in the same direction. After a week of the smoothest transition you can imagine, weβre now the same team.
To those of you whoβve been following us, this wonβt be a huge surprise, but it will be a big deal in the coming months. This acquisition means weβll double down on empowering the community to build and collaborate on high quality datasets, weβll bring full support for multimodal datasets, and weβll be in a better place to collaborate with the Open Source AI community. For enterprises, this means that the Enterprise Hub will unlock highly requested features like single sign-on and integration with Inference Endpoints.
As a founder, I am proud of the Argilla team. We're now part of something bigger and a larger team but with the same values, culture, and goals. Grateful to have shared this journey with my beloved co-founders Paco and AmΓ©lie.
Finally, huge thanks to the Chief Llama Officer @osanseviero for sparking this and being such a great partner during the acquisition process.
Would love to answer any questions you have so feel free to add them below!
Weβre embracing a larger mission, becoming part of a brilliant and kind team and a shared vision about the future of AI.
Over the past year, weβve been collaborating with Hugging Face on countless projects: launching partner of Docker Spaces, empowering the community to clean Alpaca translations into Spanish and other languages, launching argilla/notus-7b-v1 building on Zephyrβs learnings, the Data is Better Together initiative with hundreds of community contributors, or releasing argilla/OpenHermesPreferences, one of the largest open preference tuning datasets
After more than 2,000 Slack messages and over 60 people collaborating for over a year, it already felt like we were part of the same team, pushing in the same direction. After a week of the smoothest transition you can imagine, weβre now the same team.
To those of you whoβve been following us, this wonβt be a huge surprise, but it will be a big deal in the coming months. This acquisition means weβll double down on empowering the community to build and collaborate on high quality datasets, weβll bring full support for multimodal datasets, and weβll be in a better place to collaborate with the Open Source AI community. For enterprises, this means that the Enterprise Hub will unlock highly requested features like single sign-on and integration with Inference Endpoints.
As a founder, I am proud of the Argilla team. We're now part of something bigger and a larger team but with the same values, culture, and goals. Grateful to have shared this journey with my beloved co-founders Paco and AmΓ©lie.
Finally, huge thanks to the Chief Llama Officer @osanseviero for sparking this and being such a great partner during the acquisition process.
Would love to answer any questions you have so feel free to add them below!
- 28 replies
posted
an
update
5 months ago
Post
10163
Introducing Whisper WebGPU: Blazingly-fast ML-powered speech recognition directly in your browser! π It supports multilingual transcription and translation across 100 languages! π€―
The model runs locally, meaning no data leaves your device! π
Check it out! π
- Demo: Xenova/whisper-webgpu
- Source code: https://github.com/xenova/whisper-web/tree/experimental-webgpu
The model runs locally, meaning no data leaves your device! π
Check it out! π
- Demo: Xenova/whisper-webgpu
- Source code: https://github.com/xenova/whisper-web/tree/experimental-webgpu
- 7 replies
replied to
their
post
6 months ago
The model might be a bit large, but it could be something to try!
posted
an
update
6 months ago
Post
11429
Introducing Phi-3 WebGPU, a private and powerful AI chatbot that runs 100% locally in your browser, powered by π€ Transformers.js and onnxruntime-web!
π On-device inference: no data sent to a server
β‘οΈ WebGPU-accelerated (> 20 t/s)
π₯ Model downloaded once and cached
Try it out: Xenova/experimental-phi3-webgpu
π On-device inference: no data sent to a server
β‘οΈ WebGPU-accelerated (> 20 t/s)
π₯ Model downloaded once and cached
Try it out: Xenova/experimental-phi3-webgpu
-
- 5 replies
reacted to
fdaudens's
post with π₯
7 months ago
Post
1811
Love this new Space built by
@enzostvs
+
@Xenova
for Transformers.js: Generate your own AI music (In-browser generation) with AI Jukebox
enzostvs/ai-jukebox
enzostvs/ai-jukebox
replied to
their
post
7 months ago
Indeed! The model is cached on first load and will be reused once you refresh the page.
posted
an
update
7 months ago
Post
12993
Introducing MusicGen Web: AI-powered music generation directly in your browser, built with π€ Transformers.js! π΅
Everything runs 100% locally, meaning there are no calls to an API! π€― Since it's served as a static HF space, it costs $0 to host and run! π₯
We also added the ability to share your generated music to the discussion tab, so give it a try! π
Xenova/musicgen-web
Everything runs 100% locally, meaning there are no calls to an API! π€― Since it's served as a static HF space, it costs $0 to host and run! π₯
We also added the ability to share your generated music to the discussion tab, so give it a try! π
Xenova/musicgen-web
-
- 2 replies
posted
an
update
9 months ago
Post
Introducing the π€ Transformers.js WebGPU Embedding Benchmark! β‘οΈ
π Xenova/webgpu-embedding-benchmark π
On my device, I was able to achieve a 64.04x speedup over WASM! π€― How much does WebGPU speed up ML models running locally in your browser? Try it out and share your results! π
π Xenova/webgpu-embedding-benchmark π
On my device, I was able to achieve a 64.04x speedup over WASM! π€― How much does WebGPU speed up ML models running locally in your browser? Try it out and share your results! π
- 3 replies