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serdarcaglar
/
primary-school-math-question-multi-lang

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

Instructions to use serdarcaglar/primary-school-math-question-multi-lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • setfit

    How to use serdarcaglar/primary-school-math-question-multi-lang with setfit:

    from setfit import SetFitModel
    
    model = SetFitModel.from_pretrained("serdarcaglar/primary-school-math-question-multi-lang")
  • sentence-transformers

    How to use serdarcaglar/primary-school-math-question-multi-lang with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("serdarcaglar/primary-school-math-question-multi-lang")
    
    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
primary-school-math-question-multi-lang / 1_Pooling
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
serdarcaglar's picture
serdarcaglar
Add SetFit model
b1af78a verified over 1 year ago
  • config.json
    296 Bytes
    Add SetFit model over 1 year ago