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jamescalam
/
mpnet-nli-sts

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

Instructions to use jamescalam/mpnet-nli-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use jamescalam/mpnet-nli-sts with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("jamescalam/mpnet-nli-sts")
    
    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]
  • Transformers

    How to use jamescalam/mpnet-nli-sts with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jamescalam/mpnet-nli-sts")
    model = AutoModel.from_pretrained("jamescalam/mpnet-nli-sts")
  • Notebooks
  • Google Colab
  • Kaggle
mpnet-nli-sts / eval
6.44 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jamescalam's picture
jamescalam
first model version
85b60ef over 3 years ago
  • similarity_evaluation_results.csv
    6.44 kB
    first model version over 3 years ago