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Show HN: VisionLaya: Jev with Vision capabilities
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 https://huggingface.co/spaces/thaitea/laya-vision-demo
and the source
- https://huggingface.co/thaitea/laya-vision-smolvlm-256m https://huggingface.co/thaitea/laya-vision-smolvlm-256m
- https://github.com/r33drichards/laya-vision https://github.com/r33drichards/laya-vision
- ranger_danger 11d agoThis 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!