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Omartificial-Intelligence-Space
/
AraGemma-Embedding-300m

Sentence Similarity
sentence-transformers
Safetensors
Arabic
gemma3_text
feature-extraction
dense
Generated from Trainer
dataset_size:1000000
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
arabic
Semantic
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Omartificial-Intelligence-Space/AraGemma-Embedding-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Omartificial-Intelligence-Space/AraGemma-Embedding-300m with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Omartificial-Intelligence-Space/AraGemma-Embedding-300m")
    
    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

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