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+ XOR-TyDi_monolingual_DPR_ctx_encoder
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+ Document (context) encoder, trained on monolingual (English queries) version of the XOR-TyDi training data, as described in the XOR-TyDi task description https://nlp.cs.washington.edu/xorqa/.
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+ The model is compatible with the PrimeQA DPR engine, or the Hugging Face DPR engine as shown this example https://huggingface.co/docs/datasets/faiss_es. The model uses the tokenizer from `facebook/dpr-ctx_encoder-multiset-base`.