Geotrend/bert-base-en-fr-cased

Model

1

stars

15

commits

1

linked in READMEs

Jun 26, 2023

updated

bert
endpoints_compatible
fill-mask
jax
multilingual
pytorch
safetensors
tf
transformers
Browse cluster: Multilingual BERT Models

README

bert-base-en-fr-cased

We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.

Unlike 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.

How to use

from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-cased")

To generate other smaller versions of multilingual transformers please visit our Github repo.

How to cite

@inproceedings{smallermbert,
  title={Load What You Need: Smaller Versions of Multilingual 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.

Contributors

system

9 commits

amine

2 commits

julien-c

1 commits

Geotrend/bert-base-en-fr-cased

Model

1

stars

15

commits

1

linked in READMEs

Jun 26, 2023

updated

bert
endpoints_compatible
fill-mask
jax
multilingual
pytorch
safetensors
tf
transformers
Browse cluster: Multilingual BERT Models

README

bert-base-en-fr-cased

We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.

Unlike 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.

How to use

from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-fr-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-fr-cased")

To generate other smaller versions of multilingual transformers please visit our Github repo.

How to cite

@inproceedings{smallermbert,
  title={Load What You Need: Smaller Versions of Multilingual 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.

Contributors

system

9 commits

amine

2 commits

julien-c

1 commits