Instructions to use NAMAA-Space/gliner_arabic-v2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use NAMAA-Space/gliner_arabic-v2.1 with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("NAMAA-Space/gliner_arabic-v2.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04afef5714ed942e5e8ca29cd923b001aaf95786f8f16da53683eab690bc953b
- Size of remote file:
- 16.3 MB
- SHA256:
- 9eb08b12d046b3faead20654597b3e720039bc61f067aa17fb97aed78f46852d
ยท
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.