Decision model directory

laya-sentiment-multilingual

laya-multilingual fine-tuned to return typed decisions, 322M parameters.

Community card

What this is

laya-sentiment-multilingual 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.

Its card lists training data: tyqiangz/multilingual-sentiments. That matters when you read any benchmark number about it, because a model tuned on a benchmark's own training split has an advantage over one that has never seen it.

How to run it

Core ML

Core ML runs on the Neural Engine, so the decision happens on the device with nothing leaving it. Full Core ML guide.

# Download the .mlpackage from the repository, then load it with coremltools

A 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.