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Paper describing the model: [Document Ranking with a Pretrained Sequence-to-Sequence Model](https://www.aclweb.org/anthology/2020.findings-emnlp.63/):
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This model is a T5-base reranker trained on MS MARCO passage dataset for 100k steps (or 10 epochs).
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For more details on how to use it, check [pygaggle.ai](pygaggle.ai)
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Paper describing the model: [Document Ranking with a Pretrained Sequence-to-Sequence Model](https://www.aclweb.org/anthology/2020.findings-emnlp.63/):
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