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sarwarbeing
/
wm-04-contrastive-learning

Text Classification
sentence-transformers
PyTorch
setfit
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sarwarbeing/wm-04-contrastive-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sarwarbeing/wm-04-contrastive-learning with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sarwarbeing/wm-04-contrastive-learning")
    
    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]
  • setfit

    How to use sarwarbeing/wm-04-contrastive-learning with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("sarwarbeing/wm-04-contrastive-learning")
  • Notebooks
  • Google Colab
  • Kaggle
wm-04-contrastive-learning / 1_Pooling
190 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
sarwarbeing's picture
sarwarbeing
Add SetFit model
88a46d6 over 2 years ago
  • config.json
    190 Bytes
    Add SetFit model over 2 years ago