bert_seq2seq
Some data may be outdated — see provenance labels.
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。 observed · 2026-10-06
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2413
- days_rel: n/a
- days_push: 1585
- n_releases_24m: 0
Adoption not part of the score
1307 stars · 207 forks observed · 2026-10-06
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| 920232796/bert_seq2seq | main | 32 |
| 920232796/bert_seq2seq_DDP | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="920232796/bert_seq2seq")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem