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monot5-3b-msmarco-10k – AI Model by castorini | AlphaNeural AI
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castorini
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monot5-3b-msmarco-10k
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transformers
pytorch
t5
text2text-generation
2206.02873
text-generation-inference
endpoints_compatible
us
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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).
For more details on how to use it, check
pygaggle.ai
Paper describing the model:
Document Ranking with a Pretrained Sequence-to-Sequence Model
This model is also the state of the art on the BEIR Benchmark.
Paper:
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
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