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library_name: transformers
language:
- ar
base_model:
- asafaya/bert-base-arabic
pipeline_tag: fill-mask
license: mit
---
# SudaBERT Model
A pretrained BERT base language model for Sudanese Arabic.
## Usage
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Enigma-for-AI/bert-base-sudabert")
model = AutoModelForMaskedLM.from_pretrained("Enigma-for-AI/bert-base-sudabert")
```
## Citation
_If you use this model in your work, please cite this paper:_
```
@INPROCEEDINGS{SudaBERT,
author={Elgezouli, Mukhtar and Elmadani, Khalid N. and Saeed, Muhammed},
booktitle={2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)},
title={SudaBERT: A Pre-trained Encoder Representation For Sudanese Arabic Dialect},
year={2021},
pages={1-4},
doi={10.1109/ICCCEEE49695.2021.9429651}
}
``` |