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Falconsai
/
LightDec

Zero-Shot Classification
Transformers
Safetensors
GGUF
English
decision-model
system-one
falcondec
lightdec
calibrated-decisions
multiple-choice
intent-classification
customer-support
natural-language-inference
code
guardrails
agents
selective-prediction
falconsai
model-surgeon
attested-lineage
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Falconsai/LightDec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="Falconsai/LightDec")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Falconsai/LightDec", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LightDec / compact-int8
164 MB
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  • 2 contributors
History: 2 commits
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RealFalconsAI
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  • encoder
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  • tokenizer
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  • README.md
    7.68 kB
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  • falcondec_config.json
    1.16 kB
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  • falcondec_modeling.py
    15.6 kB
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  • model_int8.safetensors
    161 MB
    xet
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