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Weidows
/
embeddinggemma-2-zh

Feature Extraction
sentence-transformers
Safetensors
Chinese
embedding_gemma2
embeddinggemma
embedding
chinese
c-mteb
mteb
Model card Files Files and versions
xet
Community

Instructions to use Weidows/embeddinggemma-2-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Weidows/embeddinggemma-2-zh with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Weidows/embeddinggemma-2-zh")
    
    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
embeddinggemma-2-zh / eval
372 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Weidows's picture
Weidows
feat: 中文 LoRA 微调权重 + 31 任务微调前后对比(如实公开零和结论与全部回归数据)
99a95ec verified 4 days ago
  • raw
    feat: 中文 LoRA 微调权重 + 31 任务微调前后对比(如实公开零和结论与全部回归数据) 4 days ago
  • comparison.md
    5.69 kB
    feat: 中文 LoRA 微调权重 + 31 任务微调前后对比(如实公开零和结论与全部回归数据) 4 days ago
  • report.md
    14.2 kB
    feat: 中文 LoRA 微调权重 + 31 任务微调前后对比(如实公开零和结论与全部回归数据) 4 days ago