Sentence Transformers, an open-source library known for generating high-quality embeddings for natural language processing tasks, is transitioning from the Ubiquitous Knowledge Processing Lab at TU Darmstadt to Hugging Face. Initially developed by Nils Reimers in 2019, the library has been instrumental in tasks such as semantic search and textual similarity, and now boasts over 16,000 models publicly available on the Hugging Face Hub. Tom Aarsen from Hugging Face has been leading the maintenance of the project since late 2023, continuing its development under the same open-source license. The transition aims to leverage Hugging Face's infrastructure to ensure the library remains updated and innovative, while continuing to foster a community-driven approach that encourages contributions from researchers and developers. The UKP Lab, under the leadership of Prof. Dr. Iryna Gurevych, has been pivotal in the library's success, contributing to its development and ensuring its widespread adoption, and this move signifies a new chapter for Sentence Transformers as it integrates further with Hugging Face's ecosystem.