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Designsystem Set Membership Siglip2 Demo

This repository contains the trained checkpoint and local config/processor files used by the Design System set-membership web demo.

TipoOtherVersãoRevision a995feeCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
1,44 GB
Versão
vRevision a995fee
Atualizado
13 de out. de 2026
Downloads
0
Fonte
Hugging Face

Descrição da fonte

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:

/scratch/gautschi/jasonwu/designsystem/design_discriminator_runs/setmem-default-additive-x-res-bce-pat4000-20260630T053443Z/checkpoint.pt

SHA-256:

8eeb0b943e7bbb8cb30dcf2ca2302b3ab50bc853c67e4f35165fd26bbfc87092

Training args subset:

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.

Fontes

1 fonte
Hugging FacePrimárioVersão a995fee962cfca89c42e5c1422ab73694a8269d5
huggingface.co/ciderlab/designsystem-set-membership-siglip2-demo/tree/a995fee962cfca89c42e5c1422ab73694a8269d5

Verificado 27 de ago.

Artefatos de modelo

1 artefato

checkpoint.pt

pt · 1,44 GB · SHA-256 8eeb0b943e7b…7092 · Hugging Face

Download file

Trechos de fonte

2 trechos

--- 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