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gregassagraf
/
educability-norberto-4class-v1

Text Classification
Transformers
Safetensors
Portuguese
educability_ensemble
portuguese
modernbert
education
educability
ordinal-classification
synthetic-labels
custom_code
Model card Files Files and versions
xet
Community

Instructions to use gregassagraf/educability-norberto-4class-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gregassagraf/educability-norberto-4class-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gregassagraf/educability-norberto-4class-v1", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("gregassagraf/educability-norberto-4class-v1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
educability-norberto-4class-v1 / evaluation
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gregassagraf
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  • results.json
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