# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-zh-cased")
model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-zh-cased")Quick Links
bert-base-zh-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-zh-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-zh-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 Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, GrΓ©goire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
Contact
Please contact amine@geotrend.fr for any question, feedback or request.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-zh-cased")