Downloads · 30 days
0
rfa-doc-mt-models
ZhaofengWu/rfa-doc-mt-models
rfa-doc-mt-models is a machine learning model from ZhaofengWu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Pretrained models for our paper (https://arxiv.org/abs/2210.08431)
Access
Public
Updated Nov 30, 2022
Repo size
13.7 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.ckpt13.7 GB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 27, 2022
- Updated
- Nov 30, 2022
- SHA
- a91e396b
Model card
From the Hugging Face model README
Pretrained models for our paper (https://arxiv.org/abs/2210.08431)
@inproceedings{wu-etal-2022-modeling,
title = "Modeling Context With Linear Attention for Scalable Document-Level Translation",
author = "Zhaofeng Wu and Hao Peng and Nikolaos Pappas and Noah A. Smith",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
month = dec,
year = "2022",
publisher = "Association for Computational Linguistics",
}
Please see the "Files and versions" tab for the models. You can find our IWSLT models and our OpenSubtitles models that are early-stopped based on BLEU and consistency scores, respectively. The c part in the checkpoint name refers to the number of context sentences used; it is the same as the sliding window size (the L in our paper) minus one.
- License
- apache-2.0
- Created
- Nov 27, 2022
- Updated
- Nov 30, 2022