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Sentence Transformers

State-of-the-Art Embeddings, Retrieval, and Reranking

Sentence Transformers is an open-source Python module/library for using and training embedding, reranker (CrossEncoder), and sparse encoder models. It was created by UKP Lab and is now maintained by Hugging Face; current documentation states it can compute embeddings from text, images, audio, or video and supports semantic search, semantic textual similarity, paraphrase mining, and model fine-tuning.

Screenshot of Sentence Transformers website

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