Instructions to use dbmdz/flair-historic-ner-onb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use dbmdz/flair-historic-ner-onb with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("dbmdz/flair-historic-ner-onb") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from dbmdz/flair-historic-ner-onb: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/dbmdz/flair-historic-ner-onb/resolve/main/.gitattributes
- Command line
-
hf download hf://dbmdz/flair-historic-ner-onb/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/dbmdz/flair-historic-ner-onb/resolve/main/.gitattributes
345 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |