Designsystem Set Membership Siglip2 Demo

--- license: apache-2.0 library_name: transformers tags: - siglip - image-classification - design-systems - set-membership --- # Design System Set-Membership SigLIP2 Demo Checkpoint This repository contains the trained checkpoint and local config/processor files used by the Design System set-membership web demo. ## Files - `checkpoint.pt`: PyTorch checkpoint for the set-membership discriminator. - `hf/google--siglip2-base-patch16-224/`: local Hugging Face config/processor files for `google/siglip2-base-patch16-224`. The demo app instantiates the SigLIP2 architecture from config and then loads the trained checkpoint weights from `checkpoint.pt`. ## Checkpoint Provenance Source path on Gautschi: ```text /scratch/gautschi/jasonwu/designsystem/design_discriminator_runs/setmem-default-additive-x-res-bce-pat4000-20260630T053443Z/checkpoint.pt ``` SHA-256: ```text 8eeb0b943e7bbb8cb30dcf2ca2302b3ab50bc853c67e4f35165fd26bbfc87092 ``` Training args subset: ```text model_name = google/siglip2-base-patch16-224 compatibility_mode = additive_x_residual set_encoder = transformer set_hidden_dim = 512 direct_scorer_layers = 2 preprocess_crop_top = 0.1 preprocess_crop_bottom = 0.1 preprocess_target_short_side = 256 ``` ## Intended Use This checkpoint is intended for the companion Flask web demo package. It scores whether a candidate screenshot belongs to the same design system as uploaded context screenshots. Uploaded images should be preprocessed before SigLIP encoding with the checkpoint training settings: crop 10% top, crop 10% bottom, resize short side to 256.

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo ciderlab/designsystem-set-membership-siglip2-demo