metadata
tags:
- bert
- adapter-transformers
- adapterhub:ja/wiki
language:
- ja
license: apache-2.0
Adapter bert-base-multilingual-cased-ja-wiki_pfeiffer for bert-base-multilingual-cased
Pfeiffer Adapter trained with Masked Language Modelling on Japanese Wikipedia Articles for 250k 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("bert-base-multilingual-cased")
adapter_name = model.load_adapter("AdapterHub/bert-base-multilingual-cased-ja-wiki_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: ja/wiki
Author Information
- Author name(s): Jonas Pfeiffer
- Author email: [email protected]
- Author links: Website, GitHub, Twitter
Versions
nd(main)wd
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/bert-base-multilingual-cased-ja-wiki_pfeiffer.yaml.