Instructions to use olgen/ner-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use olgen/ner-german with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("olgen/ner-german") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from olgen/ner-german: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/olgen/ner-german/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://olgen/ner-german/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/olgen/ner-german/resolve/main/pytorch_model.bin
1.47 GB
- Xet hash:
- 3a893503a9a9cd64d7d44975f15efe6bc71e9eb270d69ca22b7902a006b574d3
- Size of remote file:
- 1.47 GB
- SHA256:
- c7b858e7012dd2ba991edee27f5cd09f22cead225b1dcfc8f8d55fd73adac2a0
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