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AdapterHub/bert-base-multilingual-cased_eu_wiki_pfeiffer
bert-base-multilingual-cased_eu_wiki_pfeiffer is a fill-mask model from AdapterHub. Use it when you need the model to fill a missing word. It is set up for adapter-transformers. The card lists the license as apache-2.0.
An adapter for the bert-base-multilingual-cased model, trained on the eu/wiki dataset and includes a prediction head for masked lm.
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From the Hugging Face model README
bert-base-multilingual-cased_eu_wiki_pfeiffer for bert-base-multilingual-casedAn adapter for the bert-base-multilingual-cased model, trained on the eu/wiki dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
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_eu_wiki_pfeiffer")
model.set_active_adapters(adapter_name)
@inproceedings{pfeiffer20madx,
title = "{MAD-X}: {A}n {A}dapter-{B}ased {F}ramework for {M}ulti-{T}ask {C}ross-{L}ingual {T}ransfer",
author = "Pfeiffer, Jonas and
Vuli{\'c}, Ivan and
Gurevych, Iryna and
Ruder, Sebastian",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.617",
pages = "7654--7673",
}
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-multilingual-cased_eu_wiki_pfeiffer.yaml.