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
Download result.json from JohnP1/kev-gemma4-e2b: direct link, hf CLI and curl.
- Browser
- Download file 82.5 kB
-
https://huggingface.co/JohnP1/kev-gemma4-e2b/resolve/main/result.json
- Command line
-
hf download hf://JohnP1/kev-gemma4-e2b/result.json
-
curl -L -o result.json https://huggingface.co/JohnP1/kev-gemma4-e2b/resolve/main/result.json
82.5 kB
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