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Transformers v5.19.0 adds multimodal EmbeddingGemma 2 and exposes MoE router logits

github.com 7 min read Editor score 7/10

EmbeddingGemma 2 maps text, images, audio and video into a shared 768-dimensional vector space, with shorter Matryoshka output options; MoE models also expose router logits. The release offers concrete retrieval capabilities and changes that may affect model integrations.

What
EmbeddingGemma 2 adds multimodal embeddings to Transformers v5.19.0.
How
It encodes text, images, audio, and video into a shared 768-dimensional vector space, with optional embedding truncation and tower disabling.
Why it matters
Engineers can reduce memory by disabling unused towers; MoE callers should read router logits from the updated output classes when requested.
text images audio video EmbeddingGemma2 vector space
EmbeddingGemma 2 maps text, images, audio, and video into a shared vector space. Sketched from the article's own text.

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