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Omartificial-Intelligence-Space
/
AraEuroBert-2.1B

Feature Extraction
sentence-transformers
Safetensors
Arabic
eurobert
sentence-similarity
Generated from Trainer
dataset_size:2280319
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Arabic
EuroBert
Semantic
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Omartificial-Intelligence-Space/AraEuroBert-2.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Omartificial-Intelligence-Space/AraEuroBert-2.1B with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Omartificial-Intelligence-Space/AraEuroBert-2.1B", trust_remote_code=True)
    
    sentences = [
        "امرأة شقراء تطل على مشهد (سياتل سبيس نيدل)",
        "رجل يستمتع بمناظر جسر البوابة الذهبية",
        "فتاة بالخارج تلعب في الثلج",
        "شخص ما يأخذ في نظرة إبرة الفضاء."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
AraEuroBert-2.1B
8.45 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
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