模型:

castorini/monot5-base-med-msmarco

中文

This model is a T5-base 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