A cross-encoder model based on RoBERTa trained on the STS benchmark for evaluating semantic textual similarity. It is part of the sentence-transformers library and produces high-quality similarity scores between sentence pairs. The model is widely used in information retrieval, recommendation systems, and semantic search applications.
Stsb Roberta Base is a Foundation models & chat project. It focuses on measuring how semantically similar two English sentences are for search, clustering, or duplicate detection. Stsb Roberta Base is an open-source project aimed at developers. Stsb Roberta Base is open source under the Open Source license. Stsb Roberta Base is available on the web and API.
It is developed by cross-encoder, and it first shipped in 2022. Key capabilities include semantic similarity, sentence embeddings, and text ranking.
Summary written by a language model from the project’s public pages.
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