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--- |
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tags: |
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- xmod |
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- adapter-transformers |
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- adapterhub:ne/cc100 |
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language: |
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- ne |
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license: "mit" |
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--- |
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# Adapter `AdapterHub/xmod-base-ne_NP` for AdapterHub/xmod-base |
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An [adapter](https://adapterhub.ml) for the `AdapterHub/xmod-base` model that was trained on the [ne/cc100](https://adapterhub.ml/explore/ne/cc100/) dataset. |
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This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library. |
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## Usage |
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First, install `adapters`: |
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``` |
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pip install -U adapters |
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``` |
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Now, the adapter can be loaded and activated like this: |
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```python |
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from adapters import AutoAdapterModel |
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model = AutoAdapterModel.from_pretrained("AdapterHub/xmod-base") |
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adapter_name = model.load_adapter("AdapterHub/xmod-base-ne_NP", source="hf", set_active=True) |
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``` |
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## Architecture & Training |
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This adapter was extracted from the original model checkpoint [facebook/xmod-base](https://huggingface.co/facebook/xmod-base) to allow loading it independently via the Adapters library. |
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For more information on architecture and training, please refer to the original model card. |
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## Evaluation results |
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<!-- Add some description here --> |
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## Citation |
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[Lifting the Curse of Multilinguality by Pre-training Modular Transformers (Pfeiffer et al., 2022)](http://dx.doi.org/10.18653/v1/2022.naacl-main.255) |
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``` |
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@inproceedings{pfeiffer-etal-2022-lifting, |
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title = "Lifting the Curse of Multilinguality by Pre-training Modular Transformers", |
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author = "Pfeiffer, Jonas and |
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Goyal, Naman and |
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Lin, Xi and |
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Li, Xian and |
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Cross, James and |
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Riedel, Sebastian and |
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Artetxe, Mikel", |
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booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies", |
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month = jul, |
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year = "2022", |
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address = "Seattle, United States", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2022.naacl-main.255", |
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doi = "10.18653/v1/2022.naacl-main.255", |
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pages = "3479--3495" |
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} |
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``` |