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 README.md with huggingface_hub
Browse files
README.md
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## Provenance & operations
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- Parents: Falconsai/LightDec/model.safetensors
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- Operations performed: load×1
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- Weight merges recorded: 0
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- Quantized tensors (F32→F16): 0
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## Surgery Log (ordered)
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1. **load** — hub:Falconsai/LightDec/model.safetensors (319.3 MB, safetensors)
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## Validation
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- Tissue imaging:
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- Structural integrity is testable offline via the packaged
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`load_and_test.py`.
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## Provenance & operations
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- Parents: Falconsai/LightDec/model.safetensors
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- Operations performed: forensics×1, hub_push×1, imaging×3, load×1, test×1
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- Weight merges recorded: 0
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- Quantized tensors (F32→F16): 0
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## Surgery Log (ordered)
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1. **load** — hub:Falconsai/LightDec/model.safetensors (319.3 MB, safetensors)
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2. **hub_push** — Falconsai/LightDec ← 8 file(s) (attestation included)
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3. **test** — PASS
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4. **forensics** — clean — no anomalies
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5. **imaging** — synthetic 16 token ids → [1, 2304] [WEAK]
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6. **imaging** — synthetic 16 token ids → [1, 2304] [WEAK]
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7. **imaging** — 41 token ids (hash-mapped, vocab 50368) → [1, 2304] [WEAK]
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## Validation
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- Tissue imaging: WEAK
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- Structural integrity is testable offline via the packaged
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`load_and_test.py`.
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