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 tokenizer.json from link921/CPM-jev: direct link, hf CLI and curl.
- Browser
- Download file 9.89 MB
-
https://huggingface.co/link921/CPM-jev/resolve/main/tokenizer.json
- Command line
-
hf download hf://link921/CPM-jev/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/link921/CPM-jev/resolve/main/tokenizer.json
9.89 MB
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