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dpshade22
/
hf-e5-bible-300

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-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dpshade22/hf-e5-bible-300 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dpshade22/hf-e5-bible-300")
    
    sentences = [
        "query: Jesus and Mary",
        "passage: Later, knowing that everything had now been finished, and so that Scripture would be fulfilled, Jesus said, “I am thirsty.”",
        "passage: But a young man saw them and told Absalom. So the two of them left at once and went to the house of a man in Bahurim. He had a well in his courtyard, and they climbed down into it.",
        "passage: As he says in Hosea:\n“I will call them ‘my people’ who are not my people;\n    and I will call her ‘my loved one’ who is not my loved one,”"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
hf-e5-bible-300
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dpshade22's picture
dpshade22
Upload hf-e5-bible-300 embedding model
b396963 verified 4 months ago
  • 1_Pooling
    Upload hf-e5-bible-300 embedding model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    14.5 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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