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dpshade22
/
hf-e5-bible-100

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-100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dpshade22/hf-e5-bible-100 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dpshade22/hf-e5-bible-100")
    
    sentences = [
        "query: Handkerchief: Only once in Authorized Version (Acts 19:12). The Greek word (sudarion) so rendered means properly “a sweat-cloth.” It is rendered “napkin” in John 11:44; 20:7; Luke 19:20.",
        "passage: as well as the cloth that had been wrapped around Jesus’ head. The cloth was still lying in its place, separate from the linen.",
        "passage: “On that day I will make the clans of Judah like a firepot in a woodpile, like a flaming torch among sheaves. They will consume all the surrounding peoples right and left, but Jerusalem will remain intact in her place.",
        "passage: and the borders of Canaan reached from Sidon toward Gerar as far as Gaza, and then toward Sodom, Gomorrah, Admah and Zeboyim, as far as Lasha."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
hf-e5-bible-100
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dpshade22's picture
dpshade22
Upload hf-e5-bible-100 embedding model
464c3b0 verified 4 months ago
  • 1_Pooling
    Upload hf-e5-bible-100 embedding model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    20.5 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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