Instructions to use flair/chunk-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/chunk-english with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/chunk-english") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/chunk-english: direct link, hf CLI and curl.
- Browser
- Download file 244 MB
-
https://huggingface.co/flair/chunk-english/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/chunk-english/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/chunk-english/resolve/main/pytorch_model.bin
244 MB
- Xet hash:
- 46f6a160847655811e0fe39a65bfa57f1c8eba9b3086b348806f29778f21d54c
- Size of remote file:
- 244 MB
- SHA256:
- af2784e5fbe13f89d3d62bfbeda0707306d913d6029760a397fb6e393b4c9033
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