Adapter xlm-roberta-large_mlki_tp_pfeiffer
for xlm-roberta-large
Note: This adapter was not trained by the AdapterHub team, but by these author(s): Yifan Hou. See author details below.
Knowledge adapter set for multilingual knowledge graph integration. This adapter is for factual triple enhancement (phrase-level). We trained it with triples from Wikidata across 84 languages.
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("xlm-roberta-large")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-large_mlki_tp_pfeiffer")
model.set_active_adapters(adapter_name)
Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: MLKI_TP
Author Information
- Author name(s): Yifan Hou
- Author email: yifan.hou@inf.ethz.ch
- Author links: Website, GitHub, Twitter
Citation
@article{hou2022adapters, title={Adapters for Enhanced Modeling of Multilingual Knowledge and Text}, author={Hou, Yifan and Jiao, Wenxiang and Liu, Meizhen and Allen, Carl and Tu, Zhaopeng and Sachan, Mrinmaya}, journal={arXiv preprint arXiv:2210.13617}, year={2022} }
This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/mlki/xlm-roberta-large_mlki_tp_pfeiffer.yaml.
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