Instructions to use flair/ner-multi-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-multi-fast with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-multi-fast") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cde16dd0de38eb817cd2c582a1d244a48fb995b5fce22e465a807eb5992d93f
- Size of remote file:
- 1.51 GB
- SHA256:
- d81cca5b24f295c7a09b36c37353c55d528960fb6218ccb5d6b71c0bc98dfd0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.