Token Classification
SpanMarker
Safetensors
Arabic
ner
named-entity-recognition
generated_from_span_marker_trainer
Instructions to use iahlt/xlm-roberta-base-ar-ner-flat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use iahlt/xlm-roberta-base-ar-ner-flat with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("iahlt/xlm-roberta-base-ar-ner-flat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78045c8ea1f03cfa67b7031ce718f3a335136a2a398b8aa29b81353acbb12b44
- Size of remote file:
- 17.1 MB
- SHA256:
- 4744345123bc9dbf0daa1471ddf0d6b25a367b938235dcdbab1114b274a07887
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