Knowledgator/GLiFormer
Generalist Multitask Transformer Encoders
About the project
A framework for training and running generalist multitask transformer encoders that extract entities, relations, classifications, and structured records from text, documents, images, and audio. Built on GLiNER, it lets you specify labels and extraction schemas at inference time.
Useful for
- Extract named entities from text by specifying label types at inference time
- Build nested company → departments → employees records from unstructured text
- Fine-tune the model on your own annotations while freezing selected components
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 8 stars so far today, about 10 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 7 days old and already has 90 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 90
- Stars in a day
- 10
- Forks
- 5
- Issues and pull requests
- 1
- Watchers
- 0
- Language
- Python
- License
- Apache-2.0
- Created
- September 11, 2026
- Last push
- September 15, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 17, 2026Top new repositories this week: #130
- September 16, 2026Top new repositories this week: #186
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