legacy-datasets/wikipedia
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How to use Geotrend/bert-base-25lang-cased with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="Geotrend/bert-base-25lang-cased") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-25lang-cased")
model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-25lang-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.
Handled languages: en, fr, es, de, zh, ar, ru, vi, el, bg, th, tr, hi, ur, sw, nl, uk, ro, pt, it, lt, no, pl, da and ja.
For more information please visit our paper: Load What You Need: Smaller Versions of Multilingual BERT.
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-25lang-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-25lang-cased")
To generate other smaller versions of multilingual transformers please visit our Github repo.
@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}
}
Please contact amine@geotrend.fr for any question, feedback or request.