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spacemanidol
/
esci-mpnet-crossencoder

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

Instructions to use spacemanidol/esci-mpnet-crossencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use spacemanidol/esci-mpnet-crossencoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("spacemanidol/esci-mpnet-crossencoder")
    
    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
esci-mpnet-crossencoder / eval
39.4 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
3v324v23's picture
3v324v23
adding modes
0b63fff almost 4 years ago
  • similarity_evaluation_results.csv
    39.4 kB
    adding modes almost 4 years ago