Instructions to use PooryaPiroozfar/Flair-Persian-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use PooryaPiroozfar/Flair-Persian-NER with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("PooryaPiroozfar/Flair-Persian-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd1872bc5f43306fd311eef8daf3f319dfc1dc4f3ddf5fa53a28a562497bdac8
- Size of remote file:
- 652 MB
- SHA256:
- 3c8eb15fb43cf5b86ce78cbbcb88d6570155625dc412a7c60766083decdc644a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.