our dense retriever outperforms a strong Lucene-BM25 system largely by 9%-19% absolute in terms of top-20 passage
retrieval accuracy, and helps our end-to-end QA system establish new state-of-the-art on multiple open-domain QA
benchmarks.
This model was contributed by lhoestq. The original code can be found here.
DPRConfig
[[autodoc]] DPRConfig
DPRContextEncoderTokenizer
[[autodoc]] DPRContextEncoderTokenizer
DPRContextEncoderTokenizerFast
[[autodoc]] DPRContextEncoderTokenizerFast
DPRQuestionEncoderTokenizer
[[autodoc]] DPRQuestionEncoderTokenizer
DPRQuestionEncoderTokenizerFast
[[autodoc]] DPRQuestionEncoderTokenizerFast
DPRReaderTokenizer
[[autodoc]] DPRReaderTokenizer
DPRReaderTokenizerFast
[[autodoc]] DPRReaderTokenizerFast
DPR specific outputs
[[autodoc]] models.dpr.modeling_dpr.DPRContextEncoderOutput
