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
Download provenance/checkpoint_json/v142_selection.json from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 784 Bytes
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/provenance/checkpoint_json/v142_selection.json
- Command line
-
hf download hf://bambamdevs/openjev-e4b/provenance/checkpoint_json/v142_selection.json
-
curl -L -o v142_selection.json https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/provenance/checkpoint_json/v142_selection.json
784 Bytes
| { | |
| "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" | |
| } | |