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
- Xet hash:
- 880b50639dea025348cb62d9939a8d52734e2eb6ae921acfa2a499f030de465c
- Size of remote file:
- 1.34 GB
- SHA256:
- a3e41d0bc95867f628591c4824c6c9a0b520f3680efae73f5b711943568c9428
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