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Decius
/
botpress_Vaganet_model

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • setfit

    How to use Decius/botpress_Vaganet_model with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("Decius/botpress_Vaganet_model")
  • sentence-transformers

    How to use Decius/botpress_Vaganet_model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Decius/botpress_Vaganet_model")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle

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