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dpshade22
/
hf-e5-bible-75

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:262023
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dpshade22/hf-e5-bible-75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dpshade22/hf-e5-bible-75 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dpshade22/hf-e5-bible-75")
    
    sentences = [
        "query: what happened at holy week",
        "passage: He replied, “Go into the city to a certain man and tell him, ‘The Teacher says: My appointed time is near. I am going to celebrate the Passover with my disciples at your house.’”",
        "passage: Many nations will come and say,\n“Come, let us go up to the mountain of the Lord,\n    to the temple of the God of Jacob.\nHe will teach us his ways,\n    so that we may walk in his paths.”\nThe law will go out from Zion,\n    the word of the Lord from Jerusalem.",
        "passage: But seek first his kingdom and his righteousness, and all these things will be given to you as well."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
hf-e5-bible-75
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dpshade22's picture
dpshade22
Upload hf-e5-bible-75 embedding model
8622281 verified 4 months ago
  • 1_Pooling
    Upload hf-e5-bible-75 embedding model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    14.8 kB
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  • config.json
    612 Bytes
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  • config_sentence_transformers.json
    282 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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