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[P] Pasma: what a 5.3M-parameter clothing classifier gains and loses against zero-shot vision models

We built Pasma at Vestes Archive for a narrow deployment problem: classify a single clothing item without uploading the photo or running a large vision-language model. We’ve released the v1.0 candidate weights and inference code. Small-320 has 5.296M parameters and a 10.32 MiB FP16 ONNX graph. It p…

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  1. 2026-10-25 11:00 · r/deeplearning
    [P] Pasma: what a 5.3M-parameter clothing classifier gains and loses against zero-shot vision models

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