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castorini/monot5-3b-med-msmarco
monot5-3b-med-msmarco is a feature extraction model from castorini. Use it when you need embeddings to search or compare text. It is set up for transformers.
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.
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From the Hugging Face model README
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