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RikkaBotan
/
quantized-stable-static-embedding-fast-retrieval-mrl-ja

Sentence Similarity
sentence-transformers
Japanese
feature-extraction
dense
Generated from Trainer
dataset_size:15098874
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-ja with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-ja")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
quantized-stable-static-embedding-fast-retrieval-mrl-ja
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  • 1 contributor
History: 12 commits
RikkaBotan's picture
RikkaBotan
Update README.md
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  • assets
    Upload SSE_comp_ja.png 2 months ago
  • .gitattributes
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  • README.md
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  • SSE_quantize.py
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  • embedding.q4_k_m.bin

    Pickle imports

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    8.52 MB
    xet
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  • model_rest.safetensors
    6.36 kB
    xet
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  • modules.json
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  • tokenizer.json
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