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Stars gained: From May 10, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 12, 2026, each from zero01020May 10Nov 12, 2026brightmart/roberta_zhddangelov/Top2Vec
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.8K3KMay 9Nov 12, 2026brightmart/roberta_zhddangelov/Top2Vec

Facts

Fact brightmart/roberta_zh

RoBERTa中文预训练模型: RoBERTa for Chinese

ddangelov/Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

Stars 2,7993,115
Net stars, last 30 days +4+6
Largest star day +3 on Jun 3, 2026+1 on May 18, 2026
Milestone reached in the record NoneNone
Forks 409370
Language PythonPython
License No licenseBSD-3-CLAUSE
Created Sep 2, 2019Mar 20, 2020
Last push Jul 22, 2024Nov 14, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 0 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: bert, pre-trained-language-models. 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

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