Feature Extraction
Transformers
Safetensors
Algerian Arabic
dzair
algerian-darija
arabizi
arabic
encoder
replaced-token-detection
low-resource
custom_code
Eval Results (legacy)
Instructions to use algerian-nlp/DZAIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use algerian-nlp/DZAIR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="algerian-nlp/DZAIR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("algerian-nlp/DZAIR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card
Browse files
README.md
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@@ -274,7 +274,7 @@ If you use DZAIR in your research or applications, please cite:
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```bibtex
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@article{ainouche2026dzair,
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title = {DZAIR: Beyond One Million Tweets -- Full-Spectrum Pretraining for Algerian Darija},
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author = {Ainouche, Abderahmane},
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journal = {arXiv preprint},
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year = {2026},
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url = {https://huggingface.co/algerian-nlp/DZAIR}
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```bibtex
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@article{ainouche2026dzair,
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title = {DZAIR: Beyond One Million Tweets -- Full-Spectrum Pretraining for Algerian Darija},
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author = {Ainouche, Abderahmane and Algerian NLP Collective},
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journal = {arXiv preprint},
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year = {2026},
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url = {https://huggingface.co/algerian-nlp/DZAIR}
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