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syvorai
/
decisum

Text Classification
Transformers
Safetensors
Portuguese
support-automation
e-commerce
portuguese
ticket-routing
decision-model
multi-task
ensemble
Model card Files Files and versions
xet
Community

Instructions to use syvorai/decisum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use syvorai/decisum with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="syvorai/decisum")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("syvorai/decisum", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
decisum
2.53 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
lordpizzo's picture
lordpizzo
nota CPU atualizada: wheel +cpu oficial funciona bem
0b316e0 verified about 13 hours ago
  • checkpoints
    decisum v10+swa: ensemble champion (0.6339) + calibração + scripts + model card about 18 hours ago
  • scripts
    nota CPU atualizada: wheel +cpu oficial funciona bem about 13 hours ago
  • .gitattributes
    1.65 kB
    decisum v10+swa: ensemble champion (0.6339) + calibração + scripts + model card about 18 hours ago
  • README.md
    14.1 kB
    card: limitacoes suavizadas + Threadripper 35.8s -> 2.9s (torch cpu wheel) about 13 hours ago