README.md

---
tags:
- bert
- adapter-transformers
- fill-mask
- adapterhub:vi/wiki
language:
- vi
license: "apache-2.0"
---

# Adapter `bert-base-multilingual-cased_vi_wiki_pfeiffer` for bert-base-multilingual-cased

An adapter for the `bert-base-multilingual-cased` model, trained on the [vi/wiki](https://adapterhub.ml/explore/vi/wiki/) dataset and includes a prediction head for masked lm.

**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("bert-base-multilingual-cased")
adapter_name = model.load_adapter("AdapterHub/bert-base-multilingual-cased_vi_wiki_pfeiffer")
model.set_active_adapters(adapter_name)
```

## Architecture & Training

- Adapter architecture: pfeiffer
- Prediction head: masked lm
- Dataset: [vi/wiki](https://adapterhub.ml/explore/vi/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
@inproceedings{pfeiffer20madx,
  title = "{MAD-X}: {A}n {A}dapter-{B}ased {F}ramework for {M}ulti-{T}ask {C}ross-{L}ingual {T}ransfer",
  author = "Pfeiffer, Jonas  and
    Vuli{\'c}, Ivan  and
    Gurevych, Iryna  and
    Ruder, Sebastian",
  booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
  year = "2020",
  address = "Online",
  publisher = "Association for Computational Linguistics",
  url = "https://www.aclweb.org/anthology/2020.emnlp-main.617",
  pages = "7654--7673",
}

```

*This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-multilingual-cased_vi_wiki_pfeiffer.yaml*.