castorini / wiki-text-100w-multi-dpr2-query-encoder

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 2
30-day runs: 2
Model's Last Updated: 2023年1月5日
feature-extraction

Introduction of wiki-text-100w-multi-dpr2-query-encoder

Model Details of wiki-text-100w-multi-dpr2-query-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 query encoder portion of a 2nd iteration DPR model for the wiki-text-100w corpus variant trained on the amalgamation of the NQ, TriviaQA, WQ, and CuratedTREC datasets.

Runs of castorini wiki-text-100w-multi-dpr2-query-encoder on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
2
30-day runs

More Information About wiki-text-100w-multi-dpr2-query-encoder huggingface.co Model

wiki-text-100w-multi-dpr2-query-encoder huggingface.co

wiki-text-100w-multi-dpr2-query-encoder huggingface.co is an AI model on huggingface.co that provides wiki-text-100w-multi-dpr2-query-encoder's model effect (), which can be used instantly with this castorini wiki-text-100w-multi-dpr2-query-encoder model. huggingface.co supports a free trial of the wiki-text-100w-multi-dpr2-query-encoder model, and also provides paid use of the wiki-text-100w-multi-dpr2-query-encoder. Support call wiki-text-100w-multi-dpr2-query-encoder model through api, including Node.js, Python, http.

wiki-text-100w-multi-dpr2-query-encoder huggingface.co Url

https://huggingface.co/castorini/wiki-text-100w-multi-dpr2-query-encoder

castorini wiki-text-100w-multi-dpr2-query-encoder online free

wiki-text-100w-multi-dpr2-query-encoder huggingface.co is an online trial and call api platform, which integrates wiki-text-100w-multi-dpr2-query-encoder's modeling effects, including api services, and provides a free online trial of wiki-text-100w-multi-dpr2-query-encoder, you can try wiki-text-100w-multi-dpr2-query-encoder online for free by clicking the link below.

castorini wiki-text-100w-multi-dpr2-query-encoder online free url in huggingface.co:

https://huggingface.co/castorini/wiki-text-100w-multi-dpr2-query-encoder

wiki-text-100w-multi-dpr2-query-encoder install

wiki-text-100w-multi-dpr2-query-encoder is an open source model from GitHub that offers a free installation service, and any user can find wiki-text-100w-multi-dpr2-query-encoder on GitHub to install. At the same time, huggingface.co provides the effect of wiki-text-100w-multi-dpr2-query-encoder install, users can directly use wiki-text-100w-multi-dpr2-query-encoder installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

wiki-text-100w-multi-dpr2-query-encoder install url in huggingface.co:

https://huggingface.co/castorini/wiki-text-100w-multi-dpr2-query-encoder

Url of wiki-text-100w-multi-dpr2-query-encoder

wiki-text-100w-multi-dpr2-query-encoder huggingface.co Url

Provider of wiki-text-100w-multi-dpr2-query-encoder huggingface.co

castorini
ORGANIZATIONS

Other API from castorini

huggingface.co

Total runs: 123
Run Growth: 119
Growth Rate: 96.75%
Updated: 2021年11月5日