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xlm-roberta-large-ja-wiki_pfeiffer – AI Model by AdapterHub | AlphaNeural AI

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AdapterHub/
xlm-roberta-large-ja-wiki_pfeiffer

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Adapter `xlm-roberta-large-ja-wiki_pfeiffer` for xlm-roberta-large

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:

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("xlm-roberta-large")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-large-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: jonas@pfeiffer.ai
Author links: Website, GitHub, Twitter

Citation

bibtex

@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-large-ja-wiki_pfeiffer.yaml.