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FaisaI
/
tadabur-embedding

Feature Extraction
Transformers
Safetensors
eat
audio
embeddings
quran
arabic
custom_code
Model card Files Files and versions
xet
Community

Instructions to use FaisaI/tadabur-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FaisaI/tadabur-embedding with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FaisaI/tadabur-embedding", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("FaisaI/tadabur-embedding", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tadabur-embedding
367 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
FaisaI's picture
FaisaI
Update README.md
52fc80e verified about 19 hours ago
  • .gitattributes
    1.58 kB
    Upload tadabur_embedding.png 11 days ago
  • README.md
    5.74 kB
    Update README.md about 19 hours ago
  • config.json
    927 Bytes
    Updating model 7 days ago
  • configuration_eat.py
    2.05 kB
    Updating model 7 days ago
  • eat_model.py
    5.01 kB
    Updating model 7 days ago
  • model.safetensors
    366 MB
    xet
    Update model 1 day ago
  • model_core.py
    6.93 kB
    Add HF-compatible EAT encoder weights and custom code (AutoModel support) 9 days ago
  • modeling_eat.py
    662 Bytes
    Fix loading on newer transformers versions; add requirements note about 20 hours ago
  • tadabur_embedding.png
    517 kB
    xet
    Upload tadabur_embedding.png 9 days ago