A tiny BERT-based cross-encoder trained on the GOOAQ dataset for the task of passage reranking. It takes a query and passage pair and outputs a relevance score. Designed for testing and lightweight reranking use cases within the sentence-transformers ecosystem.
Reranker Bert Tiny Gooaq Bce is a Foundation models & chat product. It focuses on re-ranking retrieved documents or passages to improve relevance ordering in search and retrieval systems. Reranker Bert Tiny Gooaq Bce is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web, the command line, and API.
Sentence Transformers builds and maintains Reranker Bert Tiny Gooaq Bce, and the product first shipped in 2024. Among its 3 catalogued features are Cross Encoder, reranking, and Semantic Search. It exposes integrations via a public API.
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