Sentence Transformers
State-of-the-Art Embeddings, Retrieval, and Reranking
Sentence Transformers is an open-source Python framework for using and training embedding, reranker, and sparse encoder models. It supports computing embeddings from text, images, audio, or video and is used for applications such as semantic search, semantic textual similarity, and paraphrase mining. It was created by UKP Lab and is now maintained by Hugging Face.
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