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
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Falconsai/LightDec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload surgery_log.json with huggingface_hub
Browse files- surgery_log.json +15 -0
surgery_log.json
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{
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"copyright": "\u00a9 2026 FALCONS.AI",
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"log": [
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"op": "load",
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"detail": "hub:Falconsai/LightDec/model.safetensors (319.3 MB, safetensors)",
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"t": 1790407275.4409664,
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"bytes": 319308314
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