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Omartificial-Intelligence-Space
/
Arabic-labse-Matryoshka

Sentence Similarity
sentence-transformers
Safetensors
Arabic
bert
mteb
feature-extraction
Generated from Trainer
dataset_size:557850
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Omartificial-Intelligence-Space/Arabic-labse-Matryoshka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Omartificial-Intelligence-Space/Arabic-labse-Matryoshka with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Omartificial-Intelligence-Space/Arabic-labse-Matryoshka")
    
    sentences = [
        "ذكر متوازن بعناية يقف على قدم واحدة بالقرب من منطقة شاطئ المحيط النظيفة",
        "رجل يقدم عرضاً",
        "هناك رجل بالخارج قرب الشاطئ",
        "رجل يجلس على أريكه"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Arabic-labse-Matryoshka / 2_Dense
2.36 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Omartificial-Intelligence-Space's picture
Omartificial-Intelligence-Space
Add new SentenceTransformer model.
d2aae43 verified almost 2 years ago
  • config.json
    114 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • model.safetensors
    2.36 MB
    xet
    Add new SentenceTransformer model. almost 2 years ago