Instructions to use VoltageVagabond/spam-classifier-liquid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VoltageVagabond/spam-classifier-liquid with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "VoltageVagabond/spam-classifier-liquid") - Notebooks
- Google Colab
- Kaggle
File size: 209 Bytes
5a28a50 | 1 2 3 4 5 6 7 8 9 10 | #!/bin/bash
cd "$(dirname "$0")"
source venv/bin/activate
echo "Evaluating spam classifier (using saved adapter)..."
echo ""
python3 fine_tune.py --eval-only
echo ""
echo "Press any key to close..."
read -n 1
|