Instructions to use webis/monoelectra-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/monoelectra-base with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import CrossEncoderModule model = CrossEncoderModule("webis/monoelectra-base") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add library name and pipeline tag
Verified signatureThis PR improves the model card's metadata by adding the `library_name` and `pipeline_tag`, making it easier to find and use. It also ensures that the model card links to the paper and the Github repository for further information.d1abf56
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remove path
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update to new lightning-ir version
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Update README.md
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add model
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initial commit
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