Text Classification
PEFT
Safetensors
kev
jev
decision-model
calibration
router
code-verification
lora
Instructions to use jtatman/kev-4b-code-verify-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jtatman/kev-4b-code-verify-v2 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "jtatman/kev-4b-code-verify-v2") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
ce43289 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
size 19989325
|