EmbeddingGemma 2 paper describes an open model for text, images, audio and video
Its vision and audio encoders can be loaded selectively, and its shared embedding space has 768 dimensions.
TLDR
Submitted Oct. 27, the EmbeddingGemma 2 paper describes an open model that represents text, images, audio, video and combinations of them in one embedding space. Co-author Omar Sanseviero shared the paper Nov. 3. The model has selectively loadable vision and audio encoders, with search among its intended uses. Its code-benchmark comparison with EmbeddingGemma 1 rests on developer-reported scores.
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