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:
- 2681e09ccc6b7a1938c4460a8fafd19c23a3ff919386c024834144bb835aeaa3
- Size of remote file:
- 5.18 kB
- SHA256:
- c73d701fd2e73a55f082849661dae0d32bfc005a3037029705c7a995027d1474
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