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open-zzrl
/
kyo-instruct

Text Classification
Transformers
PyTorch
English
decision-making
routing
agent
system-one
modernbert
intent-classification
policy-gating
Model card Files Files and versions
xet
Community

Instructions to use open-zzrl/kyo-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use open-zzrl/kyo-instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="open-zzrl/kyo-instruct")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("open-zzrl/kyo-instruct", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
kyo-instruct
316 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
constructai's picture
constructai
Update README.md
ff6ec75 verified 1 day ago
  • .gitattributes
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  • README.md
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  • pytorch_model.bin
    282 MB
    xet
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer_config.json
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