EmbeddingGemma 2 Packs 740M Params Into a Unified Embedding Space, Runs in Browser
nicodotdev · x · 2026-10-07
Google has released EmbeddingGemma 2, an embedding model now available on Hugging Face. With just 740M parameters, it projects text, images, video, and audio into a unified embedding space, enabling cross-modal similarity retrieval.
Thanks to its small size, it can run 100% locally in the browser via Transformers.js with WebGPU — Xenova has demoed a fully browser-based multimodal similarity search.
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