This model is a T5-3B reranker, initialized with our pointwise ranker, [castorini/monot5-3b-msmarco](https://huggingface.co/castorini/monot5-3b-msmarco), and finetuned on the MS MARCO passage dataset for 50K steps (or 5 epochs) on the pairwise reranking task.

For more details on how to use it, check [pygaggle.ai](pygaggle.ai)!

Paper describing the model: [The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models](https://arxiv.org/abs/2101.05667)
{}
transformers pytorch t5 feature-extraction arxiv:2101.05667 endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #feature-extraction #arxiv-2101.05667 #endpoints_compatible #text-generation-inference #region-us 

This model is a T5-3B reranker, initialized with our pointwise ranker, castorini/monot5-3b-msmarco, and finetuned on the MS MARCO passage dataset for 50K steps (or 5 epochs) on the pairwise reranking task.

For more details on how to use it, check URL!

Paper describing the model: The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
TAGS
#transformers #pytorch #t5 #feature-extraction #arxiv-2101.05667 #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #feature-extraction #arxiv-2101.05667 #endpoints_compatible #text-generation-inference #region-us 
