Instructions to use flair/entity-multilingual-8class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/entity-multilingual-8class with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/entity-multilingual-8class") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/entity-multilingual-8class: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/flair/entity-multilingual-8class/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/entity-multilingual-8class/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/entity-multilingual-8class/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- 0918686ee9c3c7eca1139d9a05fe87aa747f0046b157cfc1dd7667d10360ed9d
- Size of remote file:
- 1.13 GB
- SHA256:
- e2cb9228a504b2fe23265156d16e9daab654ba7108f74406e88fe9881f0c77d4
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