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:
- 9422f9ff963c7fe511850270b55ef435bde49eb5c362ab287c9de11277c2b373
- Size of remote file:
- 1.11 GB
- SHA256:
- 01a5ef5fe0f14710d8e42af3a0f539a5475152fcb3b48b8f7bfc23313697ea31
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