Instructions to use flair/entity-multilingual-4class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/entity-multilingual-4class with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/entity-multilingual-4class") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/entity-multilingual-4class: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/flair/entity-multilingual-4class/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/entity-multilingual-4class/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/entity-multilingual-4class/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- fe9877906baaecbfd5917122d95900b22537a499734281c71b564c68146567c9
- Size of remote file:
- 1.13 GB
- SHA256:
- 892121dd47ad80068eb51831351cce14c3b545f814e03ff99dd30547b8e323af
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