Sentence Transformers

Framework for computing dense sentence/text/image embeddings using transformer models. Primary use cases: semantic search, semantic similarity, clustering, and reranking. Wraps transformers and provides SentenceTransformer (embedding), CrossEncoder (reranker), and SparseEncoder (sparse embedding) classes. 15,000+ pretrained models on HF Hub. Now officially maintained by Hugging Face (Tom Aarsen) after transfer from UKP Lab/TU Darmstadt. Package name: sentence-transformers (hyphen). Import name: sentence_transformers (underscore).