Text Classification
jev-style
Safetensors
minicpm
minicpm5
system-one
decision-model
probability
calibration
agent
routing
Instructions to use link921/CPM-jev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use link921/CPM-jev with jev-style:
pip install "jev-style[torch]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("link921/CPM-jev") 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
Download jev_config.json from link921/CPM-jev: direct link, hf CLI and curl.
- Browser
- Download file 265 Bytes
-
https://huggingface.co/link921/CPM-jev/resolve/main/jev_config.json
- Command line
-
hf download hf://link921/CPM-jev/jev_config.json
-
curl -L -o jev_config.json https://huggingface.co/link921/CPM-jev/resolve/main/jev_config.json
265 Bytes
| { | |
| "architectures": ["MiniCPMJEVModel"], | |
| "base_model": "openbmb/MiniCPM5-2B-Base", | |
| "model_type": "minicpm5_jev_decision_scorer", | |
| "max_length": 512, | |
| "default_prediction": "raw", | |
| "temperature_scaling_enabled": false, | |
| "release": "v0.1-research-preview" | |
| } | |