Instructions to use flair/entity-german-8class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/entity-german-8class with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/entity-german-8class") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/entity-german-8class: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/flair/entity-german-8class/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/entity-german-8class/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/entity-german-8class/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- d945c79e75f172011f34c81bba5c5d1e2fba8e06b47916e8cb096cef979c8f80
- Size of remote file:
- 558 MB
- SHA256:
- cdee53d6889e09b93cf177674fd18d357b1457f5ece02dd0abeb38ba226c13fb
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