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 project. It focuses on computing high-quality sentence embeddings and semantic similarity scores without training custom models. Stsb Bert Tiny is an open-source project aimed at 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.
Behind Stsb Bert Tiny is Sentence Transformers Testing. Among its 3 catalogued features are Text Embeddings, Semantic Similarity, and Sentence Encoding.
Summary written by a language model from the project’s public pages.
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