Instructions to use Wikidepia/SB-AutoSegment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Wikidepia/SB-AutoSegment with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("Wikidepia/SB-AutoSegment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a32e496caf2aaabf3913ddb524f74cc8c486bed427bb138b2839bd9d5f664431
- Size of remote file:
- 134 MB
- SHA256:
- b4bb7065ae6c88e72a25f1171a616c68fc4dd39122db0727f2741e6ecadf1287
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.