Instructions to use Darkmachine/FrenchNer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Darkmachine/FrenchNer with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("Darkmachine/FrenchNer") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Darkmachine/FrenchNer: direct link, hf CLI and curl.
- Browser
- Download file 1.3 GB
-
https://huggingface.co/Darkmachine/FrenchNer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Darkmachine/FrenchNer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Darkmachine/FrenchNer/resolve/main/pytorch_model.bin
1.3 GB
- Xet hash:
- 2a72a155df43d3058ba1c3f12af38fa72c55d0b9847bcb404f2d9767ddf2fc14
- Size of remote file:
- 1.3 GB
- SHA256:
- 79374cb9eced60d9bb0b3edcaf5a0e0c561b042526c20b911c4e9237a4d7ae4a
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