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copenlu
/
spiced

Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use copenlu/spiced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use copenlu/spiced with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("copenlu/spiced")
    
    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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Librarian Bot: Update dataset YAML metadata for model

#1 opened about 3 years ago by
librarian-bot
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