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monot5-3b-msmarco
castorini/monot5-3b-msmarco
monot5-3b-msmarco is a feature extraction model from castorini. Use it when you need embeddings to search or compare text. It is set up for transformers.
This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Apr 3, 2021
- SHA
- c8432e92
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Model card
From the Hugging Face model README
This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
For more details on how to use it, check pygaggle.ai
Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model
- Task
- Feature Extraction
- Library
- transformers
- Type
- t5
- Created
- Mar 2, 2022
- Updated
- Apr 3, 2021