Google DeepMind releases EmbeddingGemma 2, a 740M-parameter multimodal embedding model
#google deepmind#embedding model#multimodal#apache 2.0
Google DeepMind announced EmbeddingGemma 2, a 740M-parameter model that maps code, images, video, and audio into a shared embedding space. Released under the Apache 2.0 license, it is positioned as the most capable model for on-device multimodal embeddings, natively handling combinations of text and other modalities.
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Google : Google DeepMind launches EmbeddingGemma 2, a 740M-parameter model to map code, images, video, and audio in a shared embedding space, under an Apache 2.0 license — EmbeddingGemma 2 is the most capable model for on-device multimodal embeddings, natively mapping combinations of text, images …
