Show HN: Laya (open source jev) with vision (huggingface.co)

1 points by someguy101010 ↗ HN
This model makes calibrated, typed decisions about an image plus optional text. It answers choice, score and noul (yes/no probability) questions in one forward pass, with no text generation.

It adds image input to Laya by replacing Laya's ModernBERT encoder with SmolVLM-256M-Instruct. Laya's predict(state, questions) API, proper-scoring-rule training and temperature calibration are unchanged.

check out the live demo at https://huggingface.co/spaces/thaitea/laya-vision-demo

and the source

- https://huggingface.co/thaitea/laya-vision-smolvlm-256m - https://github.com/r33drichards/laya-vision

1 comment

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This is really quite nice.

Any plans for improvements or training against a larger dataset?

I was hoping to be able to use this for detecting/flagging nsfw image uploads, but I'm still finding too many false positives (that should be obvious to a human) with a low confidence like 0.3 or 0.4.

Thanks!