Sentence Transformers is joining Hugging Face!

Back to Articles Sentence Transformers is joining Hugging Face! Published October 22, 2025 Update on GitHub Upvote 87 +81 Tom Aarsen tomaarsen Follow Today, we are announcing that Sentence Transformers is transitioning from Iryna Gurevych’s Ubiquitous Knowledge Processing (UKP) Lab at the TU Darmstadt to Hugging Face. Hugging Face's Tom Aarsen has already been maintaining the library since late 2023 and will continue to lead the project. At its new home, Sentence Transformers will benefit from Hugging Face's robust infrastructure, including continuous integration and testing, ensuring that it stays up-to-date with the latest advancements in Information Retrieval and Natural Language Processing. Sentence Transformers (a.k.a. SentenceBERT or SBERT) is a popular open-source library for generating high-quality embeddings that capture semantic meaning. Since its inception by Nils Reimers in 2019, Sentence Transformers has been widely adopted by researchers and practitioners for various natural language processing (NLP) tasks, including semantic search, semantic textual similarity, clustering, and paraphrase mining. After years of development and training by and for the community, over 16,000 Sentence Transformers models are publicly available on the Hugging Face Hub, serving more than a million monthly unique users. "Sentence Transformers has been a huge success story and a culmination of our long-standing research on computing semantic similarities for the whole lab. Nils Reim...