dpr ctx encoder single nq base Table of Contents Model Details How To Get Started With the Model Uses Risks, Limitations and Biases Training Evaluation Environmental Impact Technical Specifications Citation Information Model Card Authors Model Details Model Description: Dense Passage Retrieval (DPR) is a set of tools and models for state of the art open domain Q&A research. dpr ctx encoder single nq base is the Context Encoder trained using the Natural Questions (NQ) dataset (Lee et al., 2019; Kwiatkowski et al., 2019). Developed by: See GitHub repo for model developers Model Type: BERT based encoder Language(s): CC BY NC 4.0, also see Code of Conduct License: English Related Models: dpr question encoder single nq base dpr reader single nq base dpr ctx encoder multiset base dpr question encoder multiset base dpr reader multiset base Resources for more information: Research Paper GitHub Repo Hugging Face DPR docs BERT Base Uncased Model Card How to Get Started with the Model Use the code below to get started with the model. Uses Direct Use dpr ctx encoder single nq base , dpr question encoder single nq base , and dpr reader single nq base can be used for the task of open domain ques…
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