Token Classification
SpanMarker
PyTorch
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use jackboyla/span-marker-bert-base-fewnerd-coarse-super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use jackboyla/span-marker-bert-base-fewnerd-coarse-super with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("jackboyla/span-marker-bert-base-fewnerd-coarse-super") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11f5d0955a7813e64122f5cd7a84a1d6a1323d01fc013742a3da224d9a538c38
- Size of remote file:
- 4.09 kB
- SHA256:
- 8253aa713c1193425c176a5e21bf431487cbfe4952d8e9cd20e4e31796273e3d
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