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Waqf-AI
/
arabic-berthash-v2

Fill-Mask
Transformers
Safetensors
Arabic
bert_hash_v2
bert
arabic
masked-language-modeling
encoder
custom_code
berthash
research
Model card Files Files and versions
xet
Community

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
arabic-berthash-v2 / evaluation
115 kB
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  • 1 contributor
History: 2 commits
Abdelkareem's picture
Abdelkareem
Focus model card on usage, architecture, training and evaluation; remove internal release-history commentary
a22d7ac verified 7 days ago
  • hash_v2_reviewed_cases.json
    93.9 kB
    Release original ArabicBertHash v2 checkpoint 1420000 with portable model code and audited Luna results 7 days ago
  • protocol.md
    3.83 kB
    Focus model card on usage, architecture, training and evaluation; remove internal release-history commentary 7 days ago
  • provenance.json
    660 Bytes
    Release original ArabicBertHash v2 checkpoint 1420000 with portable model code and audited Luna results 7 days ago
  • summary.json
    16.2 kB
    Release original ArabicBertHash v2 checkpoint 1420000 with portable model code and audited Luna results 7 days ago
  • verification.json
    226 Bytes
    Release original ArabicBertHash v2 checkpoint 1420000 with portable model code and audited Luna results 7 days ago