Adapter bert-base-multilingual-cased_bxr_wiki_pfeiffer for bert-base-multilingual-cased

An adapter for the bert-base-multilingual-cased model, trained on the bxr/wiki dataset and includes a prediction head for masked lm.

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_bxr_wiki_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

• Adapter architecture: pfeiffer
• Prediction head: masked lm
• Dataset: bxr/wiki

Author Information

• Author name(s): Jonas Pfeiffer
• Author email: Jonas@Pfeiffer.ai
• Author links: Website, GitHub, Twitter

Citation

@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_bxr_wiki_pfeiffer.yaml.