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Facts
| Fact | microsoft/unilm Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities | huggingface/transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. |
|---|---|---|
| Stars | 22,237 | 168,505 |
| Net stars, last 30 days | +23 | +1,913 |
| Largest star day | +6 on Sep 10, 2026 | +434 on Sep 13, 2026 |
| Milestone reached in the record | None | None |
| Forks | 2,700 | 35,101 |
| Language | Python | Python |
| License | MIT | APACHE-2.0 |
| Created | Jul 23, 2019 | Oct 29, 2018 |
| Last push | Sep 21, 2026 | Nov 4, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 3 of 4 checks | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks | 2 of 3 checks |
| Health facts: Security practice | 1 of 1 check | 1 of 1 check |
| Health facts: Community files | 3 of 3 checks | 3 of 3 checks |
| Commits, last 13 weeks | 3 | 1,049 |
| Weeks with commits, last 52 | 6 of 52 | 52 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: nlp, llm. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone; AwesomeRepos does not add them into one score. How each check is defined