distilbert-base-en-vi-cased
We are sharing smaller versions of distilbert-base-multilingual-cased that handle a custom number of languages.
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.
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-en-vi-cased")
model = AutoModel.from_pretrained("Geotrend/distilbert-base-en-vi-cased")
To generate other smaller versions of multilingual transformers please visit our Github repo.
How to cite
@inproceedings{smallermdistilbert,
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 [email protected] for any question, feedback or request.
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.