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BERRAMOU
/
camembert-math-classification

Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use BERRAMOU/camembert-math-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BERRAMOU/camembert-math-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="BERRAMOU/camembert-math-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("BERRAMOU/camembert-math-classification")
    model = AutoModelForSequenceClassification.from_pretrained("BERRAMOU/camembert-math-classification", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
camembert-math-classification
443 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
BERRAMOU's picture
BERRAMOU
Model save
2098d98 verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    2.23 kB
    Model save 5 days ago
  • config.json
    921 Bytes
    Model save 6 days ago
  • model.safetensors
    443 MB
    xet
    Model save 5 days ago
  • training_args.bin
    5.33 kB
    xet
    Model save 5 days ago