wolf-defender-jev
mmBERT-small fine-tuned to return typed decisions, 151M parameters.
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What this is
wolf-defender-jev is a typed-decision model: given a document and a closed set of options, it returns one of those options with a probability across the whole set rather than free text.
How to run it
ONNX Runtime
An ONNX export loads without PyTorch, which matters for slim containers and for browser or edge runtimes. Full ONNX Runtime guide.
pip install onnxruntime huggingface_hubA public number is a shortlist, not a decision
The only benchmark that settles which model you ship is one built from your own historical decisions. We freeze that test set, run the candidates against it, and hand back the threshold your error budget supports.