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krupper
/
text-complexity-classification

Text Classification
Transformers
PyTorch
Safetensors
German
bert
easy-language
plain-language
leichte-sprache
einfache-sprache
text-complexity
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use krupper/text-complexity-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use krupper/text-complexity-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="krupper/text-complexity-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("krupper/text-complexity-classification")
    model = AutoModelForSequenceClassification.from_pretrained("krupper/text-complexity-classification")
  • Notebooks
  • Google Colab
  • Kaggle
text-complexity-classification
1.38 kB
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  • 2 contributors
History: 1 commit
krupper's picture
krupper
initial commit
9d84ca0 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago