Pointwise Gaggle!
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Check out the documentation for more information.
This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 10K steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper) for 1K steps.
For more details on how to use it, check pygaggle.ai!
Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model
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