模型:
castorini/monot5-base-med-msmarco
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