BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Paper • 2010.12321 • Published • 1
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("moussaKam/barthez-orangesum-abstract")
model = AutoModelForSeq2SeqLM.from_pretrained("moussaKam/barthez-orangesum-abstract", device_map="auto")Quick Links
Barthez model finetuned on orangeSum (abstract generation)
finetuning: examples/seq2seq (as of Feb 08 2021)
paper: https://arxiv.org/abs/2010.12321
github: https://github.com/moussaKam/BARThez
@article{eddine2020barthez,
title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model},
author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis},
journal={arXiv preprint arXiv:2010.12321},
year={2020}
}
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# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="moussaKam/barthez-orangesum-abstract")