Instructions to use flair/upos-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/upos-english with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/upos-english") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/upos-english: direct link, hf CLI and curl.
- Browser
- Download file 244 MB
-
https://huggingface.co/flair/upos-english/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/upos-english/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/upos-english/resolve/main/pytorch_model.bin
244 MB
- Xet hash:
- bf38f2abd0296a01f562359a377c7fb7330dfecac684310a705dfd261df0bf86
- Size of remote file:
- 244 MB
- SHA256:
- 7922e53b94e9e2ce931035a171b837812be8047889db886272a1d433d7eec737
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