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 project. 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). It runs on the web, the command line, and API.
Behind Reranker Bert Tiny Gooaq Bce is Sentence Transformers, and it first shipped in 2024. Key capabilities include Cross Encoder, reranking, and Semantic Search. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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