https://unitedstatesofamericasuperintelligence.com/open/transformers/ Dated, sourced news items in the USASI catalog that mention Transformers. Independent project. Not a United States government website. en-us Wed, 07 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/transformers-5-19-0-adds-embeddinggemma2/ https://unitedstatesofamericasuperintelligence.com/news/transformers-5-19-0-adds-embeddinggemma2/ Wed, 07 Oct 2026 12:00:00 GMT release On October 6, 2026 Hugging Face published version 5.19.0 of its Transformers library on GitHub. The release notes add support for EmbeddingGemma2, which the notes describe as a multimodal embedding model from Google built on the Gemma 4 architecture that encodes text, images, audio, and video into a shared 768-dimensional vector space and uses Matryoshka Representation Learning so embeddings can be truncated to 512, 256, or 128 dimensions. The notes also list breaking changes: every mixture-of-experts model that computes router logits now returns them when output_router_logits=True, the "paged|" prefix for SDPA and flash attention implementations is deprecated in favor of continuous batching on the regular functions, and Owlv2ForObjectDetection.embed_image_query now selects the query box by objectness score. EmbeddingGemma2 itself is a Google model and is not a separate catalog entry; USASI has not tested these changes.