File size: 1,619 Bytes
97669b4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
tags:
- xlm-roberta
- adapter-transformers
- adapterhub:sw/wiki
language:
- sw
license: "apache-2.0"
---
# Adapter `xlm-roberta-base-sw-wiki_pfeiffer` for xlm-roberta-base
Pfeiffer Adapter trained with Masked Language Modelling on Swahili Wikipedia Articles for 100k steps and a batch size of 64.
**This adapter was created for usage with the [Adapters](https://github.com/Adapter-Hub/adapters) library.**
## Usage
First, install `adapters`:
```
pip install -U adapters
```
Now, the adapter can be loaded and activated like this:
```python
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("xlm-roberta-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-sw-wiki_pfeiffer")
model.set_active_adapters(adapter_name)
```
## Architecture & Training
- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: [sw/wiki](https://adapterhub.ml/explore/sw/wiki/)
## Author Information
- Author name(s): Jonas Pfeiffer
- Author email: jonas@pfeiffer.ai
- Author links: [Website](https://pfeiffer.ai), [GitHub](https://github.com/jopfeiff), [Twitter](https://twitter.com/@PfeiffJo)
## Citation
```bibtex
@article{pfeiffer20madx,
title={{MAD-X}: An {A}dapter-based {F}ramework for {M}ulti-task {C}ross-lingual {T}ransfer},
author={Pfeiffer, Jonas and Vuli\'{c}, Ivan and Gurevych, Iryna and Ruder, Sebastian},
journal={arXiv preprint},
year={2020},
url={https://arxiv.org/pdf/2005.00052.pdf},
}
```
*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/xlm-roberta-base-sw-wiki_pfeiffer.yaml*. |