metadata
tags:
- xlm-roberta
- adapterhub:xmf/wiki
- adapter-transformers
language:
- xmf
license: apache-2.0
Adapter xlm-roberta-base-xmf-wiki_pfeiffer
for xlm-roberta-base
Pfeiffer Adapter trained with Masked Language Modelling on Mingrelian Wikipedia Articles for 50k steps and a batch size of 64.
This adapter was created for usage with the Adapters library.
Usage
First, install adapters
:
pip install -U adapters
Now, the adapter can be loaded and activated like this:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("xlm-roberta-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-xmf-wiki_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: xmf/wiki
Author Information
- Author name(s): Jonas Pfeiffer
- Author email: jonas@pfeiffer.ai
- Author links: Website, GitHub, Twitter
Citation
@article{pfeiffer20madx,
title={{MAD-X}: An {A}dapter-based {F}ramework for {M}ulti-task {C}ross-lingual {T}ransfer},
author={Pfeiffer, Jonas and Vuli\'{c}, Ivan and Gurevych, Iryna and Ruder, Sebastian},
journal={arXiv preprint},
year={2020},
url={https://arxiv.org/pdf/2005.00052.pdf},
}
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/xlm-roberta-base-xmf-wiki_pfeiffer.yaml.