---
license: cc-by-sa-4.0
base_model:
- facebook/nllb-200-3.3B
pipeline_tag: translation
---
# AraDiCE-msa-to-lev: An MSA to Levantine Machine Translation Model Based on NLLB-3.3B 

This repository includes an MSA to Levantine machine translation model. This model was used to curate dialectal benchmarks for the AraDiCE paper (citation below). The human post-edited benchmarks can be found<a href="https://huggingface.co/datasets/QCRI/AraDiCE" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>

## Sample Usage

```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("QCRI/AraDiCE-msa-to-lev")
model = AutoModelForSeq2SeqLM.from_pretrained("QCRI/AraDiCE-msa-to-lev")

article = "من مصلحتك أن ترحل من كازابلانكا لفترة. هناك موقع لفرنسا الحرة بالقرب من برازفيل. قد أسهل لك العبور."
inputs = tokenizer(article, return_tensors="pt")

translated_tokens = model.generate(
    **inputs, forced_bos_token_id=tokenizer.convert_tokens_to_ids("ajp_Arab"), max_length=30
)
translation = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)[0]
print(translation)
```
## License

The model is distributed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)**. The full license text can be found in the accompanying `licenses_by-nc-sa_4.0_legalcode.txt` file.

## Citation
Please find the paper<a href="https://arxiv.org/pdf/2409.11404" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>

```
@article{mousi2024aradicebenchmarksdialectalcultural,
      title={{AraDiCE}: Benchmarks for Dialectal and Cultural Capabilities in LLMs},
      author={Basel Mousi and Nadir Durrani and Fatema Ahmad and Md. Arid Hasan and Maram Hasanain and Tameem Kabbani and Fahim Dalvi and Shammur Absar Chowdhury and Firoj Alam},
      year={2024},
      publisher={arXiv:2409.11404},
      url={https://arxiv.org/abs/2409.11404},
}
```