---
tags:
- bert
- adapter-transformers
- adapterhub:mlki/ts
license: "apache-2.0"
---

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

**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 (sentence-level). We trained it with triples from T-REx across 84 languages.

**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_mlki_ts_pfeiffer")
model.set_active_adapters(adapter_name)
```

## Architecture & Training

- Adapter architecture: pfeiffer
- Prediction head: None
- Dataset: [MLKI_TS](https://github.com/yifan-h/Multilingual_Space)

## Author Information

- Author name(s): Yifan Hou
- Author email: yifan.hou@inf.ethz.ch
- Author links: [Website](https://yifan-h.github.io/), [GitHub](https://github.com/eth-nlped), [Twitter](https://twitter.com/yyyyyyyyifan)



## Citation

```bibtex
@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/bert-base-multilingual-cased_mlki_ts_pfeiffer.yaml*.