🚀 BART(大型模型),在CNN Daily Mail上微调
BART模型在英文语料上进行预训练,并在CNN Daily Mail数据集上进行微调。该模型由Lewis等人在论文BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension中提出,并首次在此仓库发布。
声明:发布BART的团队未为此模型编写模型卡片,此模型卡片由Hugging Face团队编写。
🚀 快速开始
本模型可用于文本摘要任务。以下是使用pipeline API调用该模型的示例:
from transformers import pipeline
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
ARTICLE = """ New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County, New York.
A year later, she got married again in Westchester County, but to a different man and without divorcing her first husband.
Only 18 days after that marriage, she got hitched yet again. Then, Barrientos declared "I do" five more times, sometimes only within two weeks of each other.
In 2010, she married once more, this time in the Bronx. In an application for a marriage license, she stated it was her "first and only" marriage.
Barrientos, now 39, is facing two criminal counts of "offering a false instrument for filing in the first degree," referring to her false statements on the
2010 marriage license application, according to court documents.
Prosecutors said the marriages were part of an immigration scam.
On Friday, she pleaded not guilty at State Supreme Court in the Bronx, according to her attorney, Christopher Wright, who declined to comment further.
After leaving court, Barrientos was arrested and charged with theft of service and criminal trespass for allegedly sneaking into the New York subway through an emergency exit, said Detective
Annette Markowski, a police spokeswoman. In total, Barrientos has been married 10 times, with nine of her marriages occurring between 1999 and 2002.
All occurred either in Westchester County, Long Island, New Jersey or the Bronx. She is believed to still be married to four men, and at one time, she was married to eight men at once, prosecutors say.
Prosecutors said the immigration scam involved some of her husbands, who filed for permanent residence status shortly after the marriages.
Any divorces happened only after such filings were approved. It was unclear whether any of the men will be prosecuted.
The case was referred to the Bronx District Attorney\'s Office by Immigration and Customs Enforcement and the Department of Homeland Security\'s
Investigation Division. Seven of the men are from so-called "red-flagged" countries, including Egypt, Turkey, Georgia, Pakistan and Mali.
Her eighth husband, Rashid Rajput, was deported in 2006 to his native Pakistan after an investigation by the Joint Terrorism Task Force.
If convicted, Barrientos faces up to four years in prison. Her next court appearance is scheduled for May 18.
"""
print(summarizer(ARTICLE, max_length=130, min_length=30, do_sample=False))
>>> [{'summary_text': 'Liana Barrientos, 39, is charged with two counts of "offering a false instrument for filing in the first degree" In total, she has been married 10 times, with nine of her marriages occurring between 1999 and 2002. She is believed to still be married to four men.'}]
✨ 主要特性
- BART是一个Transformer编码器 - 解码器(seq2seq)模型,具有双向(类似BERT)编码器和自回归(类似GPT)解码器。它通过(1)使用任意噪声函数破坏文本,以及(2)学习一个模型来重构原始文本进行预训练。
- BART在针对文本生成任务(如摘要、翻译)进行微调时特别有效,但在理解任务(如文本分类、问答)中也表现出色。此特定检查点已在CNN Daily Mail(一个大型文本 - 摘要对集合)上进行了微调。
📚 详细文档
预期用途和限制
可以使用此模型进行文本摘要。
BibTeX引用和引用信息
@article{DBLP:journals/corr/abs-1910-13461,
author = {Mike Lewis and
Yinhan Liu and
Naman Goyal and
Marjan Ghazvininejad and
Abdelrahman Mohamed and
Omer Levy and
Veselin Stoyanov and
Luke Zettlemoyer},
title = {{BART:} Denoising Sequence-to-Sequence Pre-training for Natural Language
Generation, Translation, and Comprehension},
journal = {CoRR},
volume = {abs/1910.13461},
year = {2019},
url = {http://arxiv.org/abs/1910.13461},
eprinttype = {arXiv},
eprint = {1910.13461},
timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
📄 许可证
本模型采用MIT许可证。
📦 模型信息
属性 |
详情 |
模型类型 |
基于Transformer的编码器 - 解码器(seq2seq)模型 |
训练数据 |
CNN Daily Mail |