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--- |
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tags: |
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- adapter-transformers |
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- adapterhub:hi/wiki |
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- xlm-roberta |
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language: |
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- hi |
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license: "apache-2.0" |
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--- |
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# Adapter `xlm-roberta-base-hi-wiki_pfeiffer` for xlm-roberta-base |
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Pfeiffer Adapter trained with Masked Language Modelling on Hindi Wikipedia Articles for 250k steps and a batch size of 64. |
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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("xlm-roberta-base") |
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adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-hi-wiki_pfeiffer") |
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model.set_active_adapters(adapter_name) |
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``` |
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## Architecture & Training |
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- Adapter architecture: pfeiffer |
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- Prediction head: None |
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- Dataset: [hi/wiki](https://adapterhub.ml/explore/hi/wiki/) |
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## Author Information |
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- Author name(s): Jonas Pfeiffer |
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- Author email: [email protected] |
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- Author links: [Website](https://pfeiffer.ai), [GitHub](https://github.com/jopfeiff), [Twitter](https://twitter.com/@PfeiffJo) |
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## Citation |
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```bibtex |
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@article{pfeiffer20madx, |
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title={{MAD-X}: An {A}dapter-based {F}ramework for {M}ulti-task {C}ross-lingual {T}ransfer}, |
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author={Pfeiffer, Jonas and Vuli\'{c}, Ivan and Gurevych, Iryna and Ruder, Sebastian}, |
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journal={arXiv preprint}, |
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year={2020}, |
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url={https://arxiv.org/pdf/2005.00052.pdf}, |
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} |
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``` |
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*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/xlm-roberta-base-hi-wiki_pfeiffer.yaml*. |
