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AXERA-TECH
/
bge-m3

Sentence Similarity
sentence-transformers
ONNX
feature-extraction
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use AXERA-TECH/bge-m3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AXERA-TECH/bge-m3")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
bge-m3 / model
3.13 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
wzf19947's picture
wzf19947
first commit
547eb09 about 1 month ago
  • bge-m3_full_b1_l512.onnx
    568 kB
    xet
    first commit about 1 month ago
  • bge-m3_full_b1_l512.onnx.data

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    2.27 GB
    xet
    first commit about 1 month ago
  • bge-m3_u16_npu3.axmodel
    860 MB
    xet
    first commit about 1 month ago