|
--- |
|
language: |
|
- en |
|
- de |
|
--- |
|
Our bibert-ende is a bilingual English-German Language Model. Please check out our EMNLP 2021 paper "[BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation](https://arxiv.org/abs/2109.04588)" for more details. |
|
``` |
|
@misc{xu2021bert, |
|
title={BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation}, |
|
author={Haoran Xu and Benjamin Van Durme and Kenton Murray}, |
|
year={2021}, |
|
eprint={2109.04588}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
# Download |
|
|
|
``` |
|
from transformers import BertTokenizer, AutoModel |
|
tokenizer = BertTokenizer.from_pretrained("jhu-clsp/bibert-ende") |
|
model = AutoModel.from_pretrained("jhu-clsp/bibert-ende") |
|
``` |
|
|
