Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
gemma4
kev
Eval Results (legacy)
Instructions to use JohnP1/kev-gemma4-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/kev-gemma4-e2b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E2B") model = PeftModel.from_pretrained(base_model, "JohnP1/kev-gemma4-e2b") - Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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Kev on Gemma 4 E2B, 1-epoch prototype (g4-e2b-e1-fp32/00-trial-0): dev 0.794, transfer 0.569, T=1.48
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