Pipeline usage:
from transformers import pipeline
classifier = pipeline("text-classification", model="rahbi/alclam-base-v1-DID")
result = classifier("ู
ุง ุฐูุญูู ูุงููู ู
ุง ุนุงุฏ ุงุตุฏูู")
print(result)
Output:
[{'label': 'ูู
ูู', 'score': 0.999321460723877}]
If you use AlcLaM, please cite the paper:
@article{murtadha2024alclam,
author = {Murtadha, Ahmed and Saghir, Alfasly and Wen, Bo and Jamaal, Qasem and Mohammed, Ahmed and Liu, Yunfeng},
title = {AlcLaM: Arabic Dialectal Language Model},
journal = {Arabic NLP 2024},
year = {2024},
url = {https://arxiv.org/abs/2407.13097},
eprinttype = {arXiv},
eprint = {2407.13097}
}
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