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Nithiwat
/
soda-berta

Text Classification
Transformers
PyTorch
camembert
Model card Files Files and versions
xet
Community
1

Instructions to use Nithiwat/soda-berta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nithiwat/soda-berta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Nithiwat/soda-berta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Nithiwat/soda-berta")
    model = AutoModelForSequenceClassification.from_pretrained("Nithiwat/soda-berta")
  • Notebooks
  • Google Colab
  • Kaggle
soda-berta
421 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Nithiwat's picture
Nithiwat
add model
f871c30 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    835 Bytes
    add model almost 4 years ago
  • pytorch_model.bin
    421 MB
    xet
    add model almost 4 years ago