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
Download model.safetensors from iahlt/xlm-roberta-base-ar-ner-flat: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/model.safetensors
- Command line
-
hf download hf://iahlt/xlm-roberta-base-ar-ner-flat/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- 923ea6f18f0c08dce6c26105137429e6a3b3c3a31138475072914ca6dbbfc353
- Size of remote file:
- 1.11 GB
- SHA256:
- 9268b25b46635a447205bcab9c84c40d47b4695d96e91c801b32b427cd881f41
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