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
Download .gitattributes from Falconsai/LightDec: direct link, hf CLI and curl.
- Browser
- Download file 409 Bytes
-
https://huggingface.co/Falconsai/LightDec/resolve/main/.gitattributes
- Command line
-
hf download hf://Falconsai/LightDec/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/Falconsai/LightDec/resolve/main/.gitattributes
409 Bytes
| compact-int8/model_int8.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model_edited.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model_edited.F16.gguf filter=lfs diff=lfs merge=lfs -text | |
| falconsai_surgeon_package_20260926-114433.zip filter=lfs diff=lfs merge=lfs -text | |
| falconsai_surgeon_package_20260926-115125.zip filter=lfs diff=lfs merge=lfs -text | |