0c2b9fa831 | ||
---|---|---|
.. | ||
README.md |
README.md
language | tags | |||
---|---|---|---|---|
mn |
|
BERT-BASE-MONGOLIAN-UNCASED
Link to Official Mongolian-BERT repo
Model description
This repository contains pre-trained Mongolian BERT models trained by tugstugi, enod and sharavsambuu. Special thanks to nabar who provided 5x TPUs.
This repository is based on the following open source projects: google-research/bert, huggingface/pytorch-pretrained-BERT and yoheikikuta/bert-japanese.
How to use
from transformers import pipeline, AlbertTokenizer, BertForMaskedLM
tokenizer = AlbertTokenizer.from_pretrained('bayartsogt/bert-base-mongolian-uncased')
model = BertForMaskedLM.from_pretrained('bayartsogt/bert-base-mongolian-uncased')
## declare task ##
pipe = pipeline(task="fill-mask", model=model, tokenizer=tokenizer)
## example ##
input_ = 'Миний [MASK] хоол идэх нь тун чухал.'
output_ = pipe(input_)
for i in range(len(output_)):
print(output_[i])
Training data
Mongolian Wikipedia and the 700 million word Mongolian news data set [Pretraining Procedure]
BibTeX entry and citation info
@misc{mongolian-bert,
author = {Tuguldur, Erdene-Ochir and Gunchinish, Sharavsambuu and Bataa, Enkhbold},
title = {BERT Pretrained Models on Mongolian Datasets},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/tugstugi/mongolian-bert/}}
}