Token Classification
SpanMarker
PyTorch
Arabic
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use iahlt/span-marker-xlm-roberta-base-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use iahlt/span-marker-xlm-roberta-base-ar with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("iahlt/span-marker-xlm-roberta-base-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b74b2665c48d66f22a6fbb03f88433a070683f9c14ec0b184f0a8629ef145ee4
- Size of remote file:
- 4.54 kB
- SHA256:
- 752f2c188cd7912006a5ed551aad0439b82667729154f2a1f570a7536165afd7
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