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Falconsai
/
LightDec_V2

Zero-Shot Classification
Transformers
Safetensors
GGUF
English
unknown
decision-model
system-one
falcondec
lightdec_v2
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_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/LightDec_V2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="Falconsai/LightDec_V2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Falconsai/LightDec_V2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LightDec_V2
1.76 GB
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  • 2 contributors
History: 13 commits
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RealFalconsAI
Update README.md
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