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castorini/monot5-large-msmarco-10k
monot5-large-msmarco-10k is a machine learning model from castorini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).
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From the Hugging Face model README
This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).
This model usually has a better zero-shot performance than monot5-large-msmarco, i.e., it performs better on datasets different from MS MARCO.
For more details on how to use it, check the following links:
Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model