Instructions to use flair/chunk-english-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/chunk-english-fast with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/chunk-english-fast") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/chunk-english-fast: direct link, hf CLI and curl.
- Browser
- Download file 72.9 MB
-
https://huggingface.co/flair/chunk-english-fast/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/chunk-english-fast/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/chunk-english-fast/resolve/main/pytorch_model.bin
72.9 MB
- Xet hash:
- c4d481dfcc963d627c6047dccaac9dfcd4c49580c06ac5c8e3ff2c9ddfa13ae8
- Size of remote file:
- 72.9 MB
- SHA256:
- 34b54a6811c6507a5927018b4b0be94791ed97b7071daa589c00826693aca48f
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