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dpshade22
/
embeddinggemma-scripture-v1

Sentence Similarity
sentence-transformers
Safetensors
English
biblical-search
semantic-search
embeddinggemma
fine-tuned
Model card Files Files and versions
xet
Community

Instructions to use dpshade22/embeddinggemma-scripture-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dpshade22/embeddinggemma-scripture-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dpshade22/embeddinggemma-scripture-v1")
    
    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
embeddinggemma-scripture-v1 / 2_Dense
9.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dpshade22's picture
dpshade22
Upload fine-tuned EmbeddingGemma for biblical text search - 12% accuracy@1
802c1d6 verified 9 months ago
  • config.json
    134 Bytes
    Upload fine-tuned EmbeddingGemma for biblical text search - 12% accuracy@1 9 months ago
  • model.safetensors
    9.44 MB
    xet
    Upload fine-tuned EmbeddingGemma for biblical text search - 12% accuracy@1 9 months ago