Zero-Shot Classification
Safetensors
PEFT
English
openjev
classification
decision-model
listwise
gemma4
research
Instructions to use bambamdevs/openjev-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bambamdevs/openjev-e4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 784 Bytes
03223d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"selected": "hybrid-ce",
"candidates": [
{
"name": "hybrid-ce",
"score": 0.12241884552654395,
"preservation_gate": true,
"calibration_gate": true
},
{
"name": "hybrid-proper",
"score": 0.09892370153212077,
"preservation_gate": true,
"calibration_gate": true
},
{
"name": "span-ce",
"score": 0.05334049616988593,
"preservation_gate": false,
"calibration_gate": true
},
{
"name": "span-proper",
"score": 0.04707080430685362,
"preservation_gate": false,
"calibration_gate": true
}
],
"rule": "public benchmarks excluded; preserve validation/schema/firewall, bound ECE damage, then maximize internal confusability/generalization/calibration score"
}
|