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Pipeline usage:

from transformers import pipeline

classifier = pipeline("text-classification", model="rahbi/alclam-base-v1-DID")
result = classifier("ู…ุง ุฐู„ุญูŠู† ูˆุงู„ู„ู‡ ู…ุง ุนุงุฏ ุงุตุฏู‚ูƒ")
print(result)

Output:

[{'label': 'ูŠู…ู†ูŠ', '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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