Token Classification
SpanMarker
TensorBoard
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use LegionIntel/ner-document-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use LegionIntel/ner-document-context with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("LegionIntel/ner-document-context") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3328487582cb4dea603aebc33c97303c15f09801a641bbeec2360b74485ce6ab
- Size of remote file:
- 1.42 GB
- SHA256:
- f90acf25156c1fe2bac2dbae39e12f875b7f1e69e5ae4de5515426ee18cc712e
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