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 special_tokens_map.json from iahlt/xlm-roberta-base-ar-ner-flat: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://iahlt/xlm-roberta-base-ar-ner-flat/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/special_tokens_map.json
280 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |