Instructions to use webis/monoelectra-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/monoelectra-large with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import CrossEncoderModule model = CrossEncoderModule("webis/monoelectra-large") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add pipeline tag, library name, and link to code and paper
Verified signatureThis PR improves the model card by: - Adding the `pipeline_tag: question-answering` to better categorize the model. - Specifying the `library_name: transformers` for clarity and discoverability. - Linking to the paper and the Github repository. This will improve the model's discoverability and usability on the Hugging Face Hub.405ba83
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update to new lightning-ir version
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Update README.md
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upload model
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initial commit
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