Instructions to use webis/set-encoder-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/set-encoder-large with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import CrossEncoderModule model = CrossEncoderModule("webis/set-encoder-large") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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pipeline_tag:
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library_name: lightning-ir
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# Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
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license: apache-2.0
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pipeline_tag: text-ranking
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library_name: lightning-ir
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base_model:
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- google/electra-large-discriminator
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# Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
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