{"library":"sentence-transformers","type":"library","category":null,"description":"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).","language":"python","status":"active","version":"5.3.0","tags":["sentence-transformers","embeddings","semantic-search","sbert","cosine-similarity","reranking","cross-encoder","rag","huggingface"],"install":[{"cmd":"pip install sentence-transformers","imports":["from sentence_transformers import SentenceTransformer","from sentence_transformers import CrossEncoder","from sentence_transformers import util"]},{"cmd":"pip install sentence-transformers[train]","imports":[]},{"cmd":"pip install sentence-transformers[onnx]","imports":[]},{"cmd":"pip install sentence-transformers[onnx-gpu]","imports":[]},{"cmd":"pip install sentence-transformers[openvino]","imports":[]}],"homepage":"https://www.SBERT.net","github":"https://github.com/huggingface/sentence-transformers","docs":null,"changelog":null,"pypi":"https://pypi.org/project/sentence-transformers/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":21,"avg_install_s":82.3,"avg_import_s":22.84,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sentence-transformers/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sat Jun 27","last_verified":"Sat Jun 27","next_check":"Mon Jul 27","install_tag":"stale"}}