This is a small BERT-based model from the sentence-transformers library, fine-tuned for semantic textual similarity tasks. It converts sentences into dense vector embeddings that can be compared using cosine similarity or other metrics. It is intended for developers building semantic search, clustering, or retrieval applications.
Stsb Bert Tiny is a Foundation models & chat product. It focuses on computing high-quality sentence embeddings and semantic similarity scores without training custom models. It is built as an open-source project for developers. Stsb Bert Tiny is open source under the Open Source license. Stsb Bert Tiny is available on the web, the command line, and API.
Sentence Transformers Testing builds and maintains Stsb Bert Tiny, and the product first shipped in 2022. Key capabilities include Text Embeddings, Semantic Similarity, and Sentence Encoding.
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