Instructions to use flair/ner-german-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-german-large with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-german-large") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flair/ner-german-large: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/flair/ner-german-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flair/ner-german-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flair/ner-german-large/resolve/main/pytorch_model.bin
2.24 GB
- Xet hash:
- 172014225d4e4880acc28cbb8169c839e7623030fe4408b88db5d6b2b4367210
- Size of remote file:
- 2.24 GB
- SHA256:
- abf4313719a9b40a2daa419d066fa1fae405827bc126bde5ecd283b068b34790
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.