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monot5-large-msmarco-10k – AI Model by castorini | AlphaNeural AI
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monot5-large-msmarco-10k
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transformers
pytorch
jax
t5
text2text-generation
text-generation-inference
endpoints_compatible
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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:
A simple reranking example
Rerank MS MARCO passages
Rerank Robust04 documents
Paper describing the model:
Document Ranking with a Pretrained Sequence-to-Sequence Model