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Sentence Transformers is joining Hugging Face!

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Sentence Transformers is joining Hugging Face!

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 Reimers has made a very timely discovery and has produced not only outstanding research outcomes, but also a highly usable tool. This continues to impact generations of students and practitioners in natural language processing and AI. I would also like to thank all the users and especially the contributors, without whom this project would not be what it is today. And finally, I would like to thank Tom and Hugging Face for taking the project into the future."

"We're thrilled to officially welcome Sentence Transformers into the Hugging Face family! Over the past two years, it’s been amazing to see this project grow to massive global adoption, thanks to the incredible foundation from the UKP Lab and the amazing community around it.



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