Bart Large Cnn

🚀 BART（大型模型），在CNN Daily Mail上微调

BART模型在英文语料上进行了预训练，并在CNN Daily Mail上进行了微调。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。

免责声明：发布BART的团队并未为此模型撰写模型卡片，此模型卡片由Hugging Face团队撰写。

🚀 快速开始

本模型可用于文本摘要任务。以下是使用pipeline API调用此模型的示例代码：

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

• 模型架构：BART是一种Transformer编码器 - 解码器（seq2seq）模型，具有双向（类似BERT）的编码器和自回归（类似GPT）的解码器。
• 预训练方式：通过（1）使用任意噪声函数破坏文本，（2）学习一个模型来重构原始文本进行预训练。
• 应用场景：在微调后，BART在文本生成任务（如摘要、翻译）中表现出色，同时在理解任务（如文本分类、问答）中也有良好表现。此特定检查点在CNN Daily Mail（一个大型文本 - 摘要对集合）上进行了微调。

📚 详细文档

模型描述

BART是一个Transformer编码器 - 解码器（seq2seq）模型，它结合了双向（类似BERT）的编码器和自回归（类似GPT）的解码器。BART的预训练过程包括两个步骤：首先使用任意噪声函数破坏文本，然后学习一个模型来重构原始文本。

BART在微调后，在文本生成任务（如摘要、翻译）中特别有效，同时在理解任务（如文本分类、问答）中也表现良好。此特定检查点在CNN Daily Mail（一个大型文本 - 摘要对集合）上进行了微调。

预期用途和限制

你可以使用此模型进行文本摘要任务。

BibTeX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

本模型使用MIT许可证。

📦 模型信息