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phi0112358
/
paraphrase-MiniLM-L3-v2-GGML

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

Instructions to use phi0112358/paraphrase-MiniLM-L3-v2-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use phi0112358/paraphrase-MiniLM-L3-v2-GGML with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("phi0112358/paraphrase-MiniLM-L3-v2-GGML")
    
    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]
  • Transformers

    How to use phi0112358/paraphrase-MiniLM-L3-v2-GGML with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("phi0112358/paraphrase-MiniLM-L3-v2-GGML", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
paraphrase-MiniLM-L3-v2-GGML
56.1 MB
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  • 2 contributors
History: 4 commits
phi0112358's picture
phi0112358
Upload paraphrase-MiniLM-L3-v2-GGML-f16.bin
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  • .gitattributes
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    initial commit over 2 years ago
  • README.md
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    Update README.md over 2 years ago
  • paraphrase-MiniLM-L3-v2-GGML-f16.bin
    34.8 MB
    xet
    Upload paraphrase-MiniLM-L3-v2-GGML-f16.bin over 2 years ago
  • paraphrase-MiniLM-L3-v2-GGML-q4_0.bin
    10.1 MB
    xet
    Upload 2 files over 2 years ago
  • paraphrase-MiniLM-L3-v2-GGML-q4_1.bin
    11.2 MB
    xet
    Upload 2 files over 2 years ago