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mbert-qa-en-skd-self-distill
ccasimiro/mbert-qa-en-skd-self-distill
mbert-qa-en-skd-self-distill is a machine learning model from ccasimiro. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Best-performing "mBERT-qa-en, skd" model from the paper Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Sep 28, 2023
- Updated
- Oct 2, 2023
- SHA
- 7986cf24
Datasets
Model card
From the Hugging Face model README
Description
Best-performing "mBERT-qa-en, skd" model from the paper Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation.
Check the official GitHub repository to access the code used to implement the methods in the paper.
More info coming soon!
How to Cite
To cite our work use the following BibTex:
@misc{carrino2023promoting,
title={Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation},
author={Casimiro Pio Carrino and Carlos Escolano and José A. R. Fonollosa},
year={2023},
eprint={2309.17134},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
- Library
- transformers
- License
- apache-2.0
- Languages
- multilingual
- Created
- Sep 28, 2023
- Updated
- Oct 2, 2023