README.md

---
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}
}
```