Token Classification
SpanMarker
TensorBoard
Safetensors
German
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use davanstrien/numind_generic-entity_recognition_NER-multilingual-v1_wikiann_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use davanstrien/numind_generic-entity_recognition_NER-multilingual-v1_wikiann_de with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("davanstrien/numind_generic-entity_recognition_NER-multilingual-v1_wikiann_de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c9e74af23a34730c4e1a30d6e26dec4c82650ed6a239a32de2c86fde04ef7a5
- Size of remote file:
- 4.66 kB
- SHA256:
- 9cfa0fa0c4beed7cc0cc797c75878d2fef033f9a734259a4c228988be28eb5f5
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