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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 / onnx
367 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
sayed0am's picture
sayed0am
Rename onnx/model_quantized.onnx to onnx/model.onnx
45d1470 verified about 1 year ago
  • config.json
    716 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • model.onnx
    363 MB
    xet
    Rename onnx/model_quantized.onnx to onnx/model.onnx about 1 year ago
  • ort_config.json
    763 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer.json
    3.46 MB
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer_config.json
    1.21 kB
    Upload folder using huggingface_hub over 1 year ago