Sentence Transformers provides tools to compute dense embeddings using Sentence Transformer models, similarity scores via Cross-Encoder rerankers, and sparse embeddings via Sparse Encoders. It enables semantic search, semantic textual similarity, and paraphrase mining applications. The library offers access to over 15,000 pre-trained models and supports training custom embedding models on custom datasets.