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reacted to Xenova's post with πŸ”₯ 7 days ago
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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! πŸ‘‡
webml-community/attention-visualization

Source code: https://github.com/huggingface/transformers.js-examples/tree/main/attention-visualization
reacted to Xenova's post with πŸ”₯ about 1 month ago
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Have you tried out πŸ€— Transformers.js v3? Here are the new features:
⚑ WebGPU support (up to 100x faster than WASM)
πŸ”’ New quantization formats (dtypes)
πŸ› 120 supported architectures in total
πŸ“‚ 25 new example projects and templates
πŸ€– Over 1200 pre-converted models
🌐 Node.js (ESM + CJS), Deno, and Bun compatibility
🏑 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
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liked a Space about 1 month ago
reacted to Xenova's post with πŸš€ about 1 month ago
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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:
πŸ”€ Janus from Deepseek for unified multimodal understanding and generation (Text-to-Image and Image-Text-to-Text)
πŸ‘οΈ Qwen2-VL from Qwen for dynamic-resolution image understanding
πŸ”’ JinaCLIP from Jina AI for general-purpose multilingual multimodal embeddings
πŸŒ‹ LLaVA-OneVision from ByteDance for Image-Text-to-Text generation
πŸ€Έβ€β™€οΈ ViTPose for pose estimation
πŸ“„ MGP-STR for optical character recognition (OCR)
πŸ“ˆ PatchTST & PatchTSMixer for time series forecasting

That's right, everything running 100% locally in your browser (no data sent to a server)! πŸ”₯ Huge for privacy!

Check out the release notes for more information. πŸ‘‡
https://github.com/huggingface/transformers.js/releases/tag/3.1.0

Demo link (+ source code): webml-community/Janus-1.3B-WebGPU