cross-encoder/ms-marco-electra-base

The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch) Then sort the passages in a decreasing order . The training code is available here: SBERT.net Training MS Marco. The model was trained on the TREC Deep Learning 2019 and the MS Marco Passage Reranking dataset . Pre-trained models can be use like this:. The models are based on a V100 GPU and their performance is significantly improved:. Using Rust, we provide various pre-trained Cross-Encoders together with their performance on the . TREC.net Deep Learning.NET dataset and the .,