BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
Paper • 2109.09701 • Published
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("vinai/bartpho-syllable-base")
model = AutoModel.from_pretrained("vinai/bartpho-syllable-base")Quick Links
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
The pre-trained model vinai/bartpho-syllable-base is the "base" variant of BARTpho-syllable, which uses the "base" architecture and pre-training scheme of the sequence-to-sequence denoising model BART. The general architecture and experimental results of BARTpho can be found in our paper:
@article{bartpho,
title = {{BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese}},
author = {Nguyen Luong Tran and Duong Minh Le and Dat Quoc Nguyen},
journal = {arXiv preprint},
volume = {arXiv:2109.09701},
year = {2021}
}
Please CITE our paper when BARTpho is used to help produce published results or incorporated into other software.
For further information or requests, please go to BARTpho's homepage!
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vinai/bartpho-syllable-base")