Instructions to use dbmdz/flair-historic-ner-onb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use dbmdz/flair-historic-ner-onb with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("dbmdz/flair-historic-ner-onb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 526791d8920ba9a9f5343e7b75d7d51e9449cd754e21498a54e6b2d0356ebb59
- Size of remote file:
- 444 MB
- SHA256:
- ea4e1fcfc4e630e21af9cca2559bf157f04c1a1cd06b253a5898510032d899d5
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