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monot5-3b-med-msmarco – AI Model by castorini | AlphaNeural AI
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castorini
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monot5-3b-med-msmarco
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transformers
pytorch
t5
feature-extraction
text-generation-inference
endpoints_compatible
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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
