Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use nbroad/span-marker-xdistil-l12-h384-orgs-v3 with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("nbroad/span-marker-xdistil-l12-h384-orgs-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec6ff55626f2cb8c4b3a3a14d0e14e588fdd519a58f907650b18a2d10c05af67
- Size of remote file:
- 133 MB
- SHA256:
- 601560b79a01a6c6ca9918ac10bb2277855f017f7b052a686c0fd36855e2e022
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