Instructions to use UGARIT/flair_grc_multi_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use UGARIT/flair_grc_multi_ner with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("UGARIT/flair_grc_multi_ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87eb65a05e25642d43f7bb581d8fe25c9be75f06979aa01762f8dd5d7bd51fd6
- Size of remote file:
- 1.14 GB
- SHA256:
- d36b2ad45e1159e1fa953433b4d913a4af9c8103fc1ef8012d9f32645ff00f45
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