DPR ---------------------------------------------------- Overview ~~~~~~~~~~~~~~~~~~~~~ Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on 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. The abstract from the paper is the following: *Open-domain question answering relies on efficient passage retrieval to select candidate contexts, where traditional sparse vector space models, such as TF-IDF or BM25, are the de facto method. In this work, we show that retrieval can be practically implemented using dense representations alone, where embeddings are learned from a small number of questions and passages by a simple dual-encoder framework. When evaluated on a wide range of open-domain QA datasets, 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.* The original code can be found `here `_. DPRConfig ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRConfig :members: DPRContextEncoderTokenizer ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRContextEncoderTokenizer :members: DPRContextEncoderTokenizerFast ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRContextEncoderTokenizerFast :members: DPRQuestionEncoderTokenizer ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRQuestionEncoderTokenizer :members: DPRQuestionEncoderTokenizerFast ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRQuestionEncoderTokenizerFast :members: DPRReaderTokenizer ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRReaderTokenizer :members: DPRReaderTokenizerFast ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRReaderTokenizerFast :members: DPR specific outputs ~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.modeling_dpr.DPRContextEncoderOutput :members: .. autoclass:: transformers.modeling_dpr.DPRQuestionEncoderOutput :members: .. autoclass:: transformers.modeling_dpr.DPRReaderOutput :members: DPRContextEncoder ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRContextEncoder :members: DPRQuestionEncoder ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRQuestionEncoder :members: DPRReader ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoclass:: transformers.DPRReader :members: