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
Add pipeline tag, library name, and link to code and paper
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: question-answeringto better categorize the model. - Specifying the
library_name: transformersfor 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.
Thank you @nielsr !
christopher changed pull request status to merged