Instructions to use flairbook2/flairmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flairbook2/flairmodel with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flairbook2/flairmodel") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flairbook2/flairmodel: direct link, hf CLI and curl.
- Browser
- Download file 101 kB
-
https://huggingface.co/flairbook2/flairmodel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flairbook2/flairmodel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flairbook2/flairmodel/resolve/main/pytorch_model.bin
101 kB
- Xet hash:
- 8ab69e03497a036ffcaccd096d9fd2528dc9dd7912cb6536a98dfa86b2f3a2a9
- Size of remote file:
- 101 kB
- SHA256:
- 5a59a7662143dc621dc53a0d88f475745214a5786437194b7b90710e5280c8c3
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