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Aratako
/
Japanese-Novel-Reward-30m-v2

Text Classification
Transformers
Safetensors
Japanese
Model card Files Files and versions
xet
Community

Instructions to use Aratako/Japanese-Novel-Reward-30m-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aratako/Japanese-Novel-Reward-30m-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Aratako/Japanese-Novel-Reward-30m-v2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aratako/Japanese-Novel-Reward-30m-v2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Japanese-Novel-Reward-30m-v2
156 MB
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  • 1 contributor
History: 4 commits
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Aratako
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  • tokenizer.json
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  • tokenizer_config.json
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