Instructions to use hamidsalimi/persian-gliner-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use hamidsalimi/persian-gliner-ner with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("hamidsalimi/persian-gliner-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73e0c0011ed00d5c51d025caa327934eb0d43d3865109a15b50cb7af49a1c37e
- Size of remote file:
- 16 MB
- SHA256:
- 506beabd886b40a1fe008af4ea41be28e5a723410e5bc6ccc18850b1fea61bad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.