language: es | |
datasets: wikipedia | |
license: apache-2.0 | |
# bert-base-es-cased | |
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages. | |
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased), our versions give exactly the same representations produced by the original model which preserves the original accuracy. | |
For more information please visit our paper: [Load What You Need: Smaller Versions of Multilingual BERT](https://www.aclweb.org/anthology/2020.sustainlp-1.16.pdf). | |
## How to use | |
```python | |
from transformers import AutoTokenizer, AutoModel | |
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-es-cased") | |
model = AutoModel.from_pretrained("Geotrend/bert-base-es-cased") | |
``` | |
To generate other smaller versions of multilingual transformers please visit [our Github repo](https://github.com/Geotrend-research/smaller-transformers). | |
### How to cite | |
```bibtex | |
@inproceedings{smallermbert, | |
title={Load What You Need: Smaller Versions of Mutlilingual BERT}, | |
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire}, | |
booktitle={SustaiNLP / EMNLP}, | |
year={2020} | |
} | |
``` | |
## Contact | |
Please contact amine@geotrend.fr for any question, feedback or request. | |