Instructions to use flair/entity-german-4class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/entity-german-4class with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/entity-german-4class") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/entity-german-4class: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/flair/entity-german-4class/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/entity-german-4class/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/entity-german-4class/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 34de9131fa8b6c77c932f2b21c91904949d344ccc77232a4058ca0a0f968934e
- Size of remote file:
- 558 MB
- SHA256:
- d8d35d275d12fb2a0ed23b688b9ebf8a92eddf13a0c42a0a87f3d903e97e8eea
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