tags:
- adapterhub:af/cc100
- adapters
- xmod
language:
- af
license: mit
Adapter AdapterHub/xmod-base-af_ZA for xmod_output
An adapter for the xmod_output model that was trained on the af/cc100 dataset.
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("xmod_output")
adapter_name = model.load_adapter("AdapterHub/xmod-base-af_ZA", source="hf", set_active=True)
Architecture & Training
Evaluation results
Citation
@inproceedings{pfeiffer-etal-2022-lifting, title = "Lifting the Curse of Multilinguality by Pre-training Modular Transformers", author = "Pfeiffer, Jonas and Goyal, Naman and Lin, Xi and Li, Xian and Cross, James and Riedel, Sebastian and Artetxe, Mikel", booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", month = jul, year = "2022", address = "Seattle, United States", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.naacl-main.255", doi = "10.18653/v1/2022.naacl-main.255", pages = "3479--3495" }