castorini / wiki-all-8-4-multi-dpr2-passage-encoder

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Total runs: 262
24-hour runs: 0
7-day runs: -6
30-day runs: -174
Model's Last Updated: Janvier 05 2023
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Introduction of wiki-all-8-4-multi-dpr2-passage-encoder

Model Details of wiki-all-8-4-multi-dpr2-passage-encoder

Dense passage retriever (DPR) is a dense retrieval method described in the following paper:

Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. Dense Passage Retrieval for Open-Domain Question Answering . Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 6769-6781, 2020.

We have trained our own DPR models with our Wikipedia corpus variants using the Tevatron library.

Our own efforts are described in the paper entitled:

Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.

This is the passage encoder portion of a 2nd iteration DPR model for the wiki-all-8-4 corpus variant trained on the amalgamation of the NQ, TriviaQA, WQ, and CuratedTREC datasets.

Runs of castorini wiki-all-8-4-multi-dpr2-passage-encoder on huggingface.co

262
Total runs
0
24-hour runs
-7
3-day runs
-6
7-day runs
-174
30-day runs

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wiki-all-8-4-multi-dpr2-passage-encoder install

wiki-all-8-4-multi-dpr2-passage-encoder is an open source model from GitHub that offers a free installation service, and any user can find wiki-all-8-4-multi-dpr2-passage-encoder on GitHub to install. At the same time, huggingface.co provides the effect of wiki-all-8-4-multi-dpr2-passage-encoder install, users can directly use wiki-all-8-4-multi-dpr2-passage-encoder installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/castorini/wiki-all-8-4-multi-dpr2-passage-encoder

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Updated: Novembre 05 2021