Fill-Mask
Transformers
Safetensors
Arabic
bert_hash_v2
bert
arabic
masked-language-modeling
encoder
custom_code
berthash
research
Instructions to use Waqf-AI/arabic-berthash-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waqf-AI/arabic-berthash-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Waqf-AI/arabic-berthash-v2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Waqf-AI/arabic-berthash-v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
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Release original ArabicBertHash v2 checkpoint 1420000 with portable model code and audited Luna results
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