Instructions to use flairbook/flairmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flairbook/flairmodel with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flairbook/flairmodel") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flairbook/flairmodel: direct link, hf CLI and curl.
- Browser
- Download file 97.8 kB
-
https://huggingface.co/flairbook/flairmodel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flairbook/flairmodel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flairbook/flairmodel/resolve/main/pytorch_model.bin
97.8 kB
- Xet hash:
- 2ea24cbd648ec7561143c1d988606cd714cb7740ab47c6b73e6e4ab613976530
- Size of remote file:
- 97.8 kB
- SHA256:
- 39a599ddd4f917375dd6fb641fa7720b06938042070cbdd1124fc3f3410905c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.