Add pipeline tag, library name, and link to code and paper
Browse filesThis 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.
README.md
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license: apache-2.0
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---
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license: apache-2.0
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pipeline_tag: question-answering
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library_name: transformers
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This repository contains the model described in the paper [A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking](https://arxiv.org/abs/2405.07920).
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The code for training and evaluation can be found at https://github.com/webis-de/msmarco-llm-distillation.
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