Instructions to use chaoliangUNSW/Jev-Style-Cascade-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use chaoliangUNSW/Jev-Style-Cascade-9B with jev-style:
pip install "jev-style[torch]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("chaoliangUNSW/Jev-Style-Cascade-9B") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
File size: 783 Bytes
8c09135 | 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 | {
"id": "jev-style-cascade-9b",
"description": "Jev-Style 2B Decision v3 (in-process, PyTorch) -> JevK5-9B v0.3.3 by alibiserikbay (third party, Apache-2.0, in-process via allebee/jevk5); one threshold on normalized confidence",
"tiers": [
{
"name": "2b",
"model_id": "jev-style-2b-decision-v3",
"target": "local:2b-v3:torch",
"dtype": "float32"
},
{
"name": "jevk5-9b",
"model_id": "alibiserikbay/JevK5-9B",
"target": "jevk5:alibiserikbay/JevK5-9B",
"revision": "d6521a18a86999190e9d775c915af3d6d6772fc4"
}
],
"thresholds": [
0.75
],
"confidence": "normalized_pmax",
"frozen_utc": "2026-10-02T21:53:31Z",
"calibration_sha256": "580962e4b2bc86b32b42731eda42536f57321c7d1ca9ac1e3b970bf7dbd7e2d2"
}
|