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SBERT joins Hugging Face

·2025.10.22 09:00

Key point

Sentence Transformers, the popular embedding library, is transferring from TU Darmstadt's UKP Lab to Hugging Face.

Details

Sentence Transformers (SBERT) is officially transferring from TU Darmstadt's UKP Lab to Hugging Face.

Tom Aarsen of Hugging Face, who has maintained the library since late 2023, will continue to lead the project. Through this transfer, Sentence Transformers will be able to leverage Hugging Face's robust infrastructure (continuous integration and testing, among others) to quickly respond to the latest advances in information retrieval (IR) and natural language processing (NLP) technology.

The project will continue to be operated as open source and community-driven, under the same Apache 2.0 license as before.

Since being developed by Nils Reimers in 2019, Sentence Transformers has been a core library widely used for various NLP tasks such as semantic search, text similarity measurement, and clustering. Currently, more than 16,000 related models are published on the Hugging Face Hub, and it is used by more than 1 million users per month.

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