Instructions to use flair/ner-english-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-english-ontonotes with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-english-ontonotes") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/ner-english-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/flair/ner-english-ontonotes/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/ner-english-ontonotes/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/ner-english-ontonotes/resolve/main/pytorch_model.bin
1.47 GB
- Xet hash:
- 1bacd08a6872a418d64ce78ff4d92b5c848483bc1a96bebb63aa0550e8875461
- Size of remote file:
- 1.47 GB
- SHA256:
- cf901050db8148235cf592bbb5b93251b448a57d2730feee5b85c30303fcfa19
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