# 920232796/bert\_seq2seq

<https://repo.masters-masters.com/en/repos/920232796/bert_seq2seq>

[Home](https://repo.masters-masters.com/en) › [920232796](https://repo.masters-masters.com/en/owners/920232796) › [bert\_seq2seq](https://repo.masters-masters.com/en/repos/920232796/bert_seq2seq)

920232796/bert\_seq2seq has 1,308 stars on GitHub. Its RepoMasters card: Beta tier. pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，…

| Field | Value |
| --- | --- |
| Owner | [920232796](https://repo.masters-masters.com/en/owners/920232796) |
| Stars | 1,308 |
| Forks | 206 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | bert, seq2seq, ner, crf, text-classification, unilm, pytorch, roberta, autotitle, gpt2 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [920232796/bert\_seq2seq](https://github.com/920232796/bert_seq2seq) |

## Repository

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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