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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 / scripts
41.4 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
lordpizzo's picture
lordpizzo
nota CPU atualizada: wheel +cpu oficial funciona bem
0b316e0 verified about 16 hours ago
  • bench_latencia_ensemble.py
    3.5 kB
    latency table: M2 Max/M5/M4 Pro/XTX/B60 medidos com carga uniforme + script de bench about 17 hours ago
  • chamados_para_decisor.py
    5.19 kB
    decisum v10+swa: ensemble champion (0.6339) + calibração + scripts + model card about 21 hours ago
  • inferencia_decisor.py
    7.26 kB
    nota CPU atualizada: wheel +cpu oficial funciona bem about 16 hours ago
  • servir_decisor.py
    6.07 kB
    servir_*: device auto (cuda->mps->cpu) — comando do card funciona em qualquer maquina about 17 hours ago
  • servir_ensemble.py
    5.31 kB
    servir_*: device auto (cuda->mps->cpu) — comando do card funciona em qualquer maquina about 17 hours ago
  • treinar_decisor.py
    14.1 kB
    decisum v10+swa: ensemble champion (0.6339) + calibração + scripts + model card about 21 hours ago