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d2v1shx
/
dazo

Text Classification
Transformers
decision-model
latent-reasoning
recurrent-depth
adaptive-compute
multilingual
Model card Files Files and versions
xet
Community

Instructions to use d2v1shx/dazo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use d2v1shx/dazo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="d2v1shx/dazo")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("d2v1shx/dazo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dazo / research
6.86 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
system's picture
system HF Staff
Publish Dazo from GitHub 68f33ba
a8753ae verified 18 days ago
  • ARCHITECTURE.md
    3.88 kB
    Publish Dazo from GitHub 68f33ba 18 days ago
  • EXPERIMENTS.md
    2.98 kB
    Publish Dazo from GitHub 68f33ba 18 days ago