File size: 1,834 Bytes
e77a71c |
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 |
---
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*. |