Embeddinggemma 2
EmbeddingGemma 2 is an open multimodal embedding model built by Google DeepMind which maps text (incl. code), images, video, and audio inputs—and combinations thereof—into a single, unified 768-dimensional vector space. The model has 740M total parameters, combining a 270M parameter text model with modular vision (170M) and audio (300M) encoders.
Embeddinggemma 2 launched on 14 September 2026. It ranked #72 on Daily Launch on 25 October 2026 with a Launch Score of 28, from trending score 227 on Hugging Face. It moved down 34 places from the day before.
What is Embeddinggemma 2?
Embeddinggemma 2 is a model by google on Hugging Face. It is released under the Apache 2.0 license.
How to get Embeddinggemma 2
pip install -U sentence-transformers transformersFrom its model card on Hugging Face
More steps and the source are in its model card on Hugging Face.