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odunola
/
sentence-transformers-bible-reference-final

Feature Extraction
sentence-transformers
PyTorch
Transformers
mpnet
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use odunola/sentence-transformers-bible-reference-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use odunola/sentence-transformers-bible-reference-final with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("odunola/sentence-transformers-bible-reference-final")
    
    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]
  • Transformers

    How to use odunola/sentence-transformers-bible-reference-final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="odunola/sentence-transformers-bible-reference-final")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("odunola/sentence-transformers-bible-reference-final")
    model = AutoModel.from_pretrained("odunola/sentence-transformers-bible-reference-final")
  • Notebooks
  • Google Colab
  • Kaggle
sentence-transformers-bible-reference-final
439 MB
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  • 1 contributor
History: 5 commits
odunola's picture
odunola
Update README.md
4233d10 almost 3 years ago
  • 1_Pooling
    Add new SentenceTransformer model. almost 3 years ago
  • .gitattributes
    1.57 kB
    Add new SentenceTransformer model. almost 3 years ago
  • README.md
    4.39 kB
    Update README.md almost 3 years ago
  • config.json
    619 Bytes
    Add new SentenceTransformer model. almost 3 years ago
  • config_sentence_transformers.json
    123 Bytes
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  • modules.json
    229 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    438 MB
    xet
    Add new SentenceTransformer model. almost 3 years ago
  • sentence_bert_config.json
    53 Bytes
    Add new SentenceTransformer model. almost 3 years ago
  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    357 Bytes
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  • vocab.txt
    232 kB
    Add new SentenceTransformer model. almost 3 years ago