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
model: add new model trained on ONB dataset with latest Flair
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea4e1fcfc4e630e21af9cca2559bf157f04c1a1cd06b253a5898510032d899d5
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size 443740333
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