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sayed0am
/
arabic-english-bge-m3

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Arabic
English
xlm-roberta
passage-retrieval
pruned
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sayed0am/arabic-english-bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sayed0am/arabic-english-bge-m3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sayed0am/arabic-english-bge-m3")
    
    sentences = [
        "هذا شخص سعيد",
        "هذا كلب سعيد",
        "هذا شخص سعيد جدا",
        "اليوم هو يوم مشمس"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
arabic-english-bge-m3
1.82 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
sayed0am's picture
sayed0am
Update README.md
8ea3c0c verified 8 months ago
  • 1_Pooling
    Upload pruned model over 1 year ago
  • onnx
    Rename onnx/model_quantized.onnx to onnx/model.onnx about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3 kB
    Update README.md 8 months ago
  • config.json
    697 Bytes
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  • model.safetensors
    1.45 GB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    54 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    3.46 MB
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  • tokenizer_config.json
    1.21 kB
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