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README.md
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This model uses two BERT models fine-tuned on a contrastive learning objective.
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One is responsable for short queries, and the other for longer documents that contain the answer to the query.
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After encoding many documents, one may perform a nearest neighbor search with the query encoding, to fetch
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the most relevant document.
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This model uses two BERT models fine-tuned on a contrastive learning objective.
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One is responsable for short queries, and the other for longer documents that contain the answer to the query.
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After encoding many documents, one may perform a nearest neighbor search with the query encoding, to fetch
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the most relevant document.
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Take a look at inference.py to see how to perform inference.
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