Instructions to use flair/ner-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-dutch with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-dutch") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/ner-dutch: direct link, hf CLI and curl.
- Browser
- Download file 502 MB
-
https://huggingface.co/flair/ner-dutch/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/ner-dutch/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/ner-dutch/resolve/main/pytorch_model.bin
502 MB
- Xet hash:
- ac1b23ef3dde6b77c5099e076e80b9522a0491fc39f37d7ef0f6ace57a5c3e9f
- Size of remote file:
- 502 MB
- SHA256:
- d1daa8c197b464896aa5d1aafb5abd332f821d3ab80ab83a4d6b0c4ae819e4a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.