shotgrep models
ONNX exports of the models the shotgrep desktop app runs locally (shot detection, visual and text embeddings). The app downloads them at first launch and verifies every file by SHA-256 against its own index; nothing here is meant to be used on its own.
| model | source | revision | precision | licence | size |
|---|---|---|---|---|---|
transnet |
transnetv2_pytorch/transnetv2-pytorch-weights.pth | - | fp32 | MIT (TransNetV2, Souček & Lokoč) | 31 MB |
siglip_image |
google/siglip2-so400m-patch14-384 | e8e487298228002f3d8a82e0cd5c8ea9c567f57f | fp16 | Apache-2.0 | 857 MB |
siglip_text |
google/siglip2-so400m-patch14-384 | e8e487298228002f3d8a82e0cd5c8ea9c567f57f | fp16 | Apache-2.0 | 1451 MB |
bge_m3 |
BAAI/bge-m3 | 9a0624b896d81da7492a910ffa53731274b6cf3d | fp16 | MIT | 1151 MB |
Licences
Each export keeps the licence of its source weights (column above). TransNetV2 weights come
from the transnetv2_pytorch package.
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