Introducing EmbeddingGemma 2! 🚀 Our lightweight, multimodal embedding example maps text, code, images, video, and audio into a single, unified embedding space. Optimized for on-device use cases, it features: - 740M indicator form aspect alongside standardized encoders - Flexible size sizes (768dim-128dim) via Matryoshka Representation Learning (MRL) - 8K environment opening (4x larger than text-only EmbeddingGemma) - A commercially permissive Apache 2.0 license
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