Instructions to use flair/ner-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-english with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-english") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/ner-english: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/flair/ner-english/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/ner-english/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/ner-english/resolve/main/pytorch_model.bin
419 MB
- Xet hash:
- 57013cad1ea55100da4f100cf5d3fd3ed2c14df6eecd77de1be773db31ea905a
- Size of remote file:
- 419 MB
- SHA256:
- e9ee40a6b45ec7881cd8c6b513d6ec4f5ceabd90122e00f54b0b3f42c1e2ca69
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