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README.md

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+---
+license: mit
+tags:
+- onnx
+- perceptual-hashing
+- dinohash
+---
+
+# DINOHash — extra checkpoints
+
+Additional DINOHash perceptual-hashing models not present in
+[`backslashh/DINOHash`](https://huggingface.co/backslashh/DINOHash).
+Each model is provided both as the **raw** training/traced artifact (`raw/`)
+and as an exported **ONNX** graph (repo root, dynamic batch axis, opset 17).
+
+| Model | ONNX | Raw | Notes |
+|---|---|---|---|
+| ViT-Small → ViT-Tiny (DINO distill) | `ViT-Small-ViT-Tiny.onnx` | `raw/ViT-Small-ViT-Tiny.pth` | student backbone (`vit_tiny_patch16_224`), 192-d embedding |
+| XCiT-Small → XCiT-Tiny (DINO distill) | `XCiT-Small-XCiT-Tiny.onnx` | `raw/XCiT-Small-XCiT-Tiny.pth` | student backbone (`xcit_tiny_12_p16_224`), 192-d embedding |
+| MAE-Lite mae_tiny_400e | `mae_tiny_400e_traced.onnx` | `raw/mae_tiny_400e_traced.pt` | 192-d |
+| MAE-Lite mae_tiny_distill_400e | `mae_tiny_distill_400e_traced.onnx` | `raw/mae_tiny_distill_400e_traced.pt` | 192-d |
+| MAE-Lite mae_tiny_distill_d2_400e | `mae_tiny_distill_d2_400e_traced.onnx` | `raw/mae_tiny_distill_d2_400e_traced.pt` | 192-d |
+| MAE-Lite mocov3_tiny_400e | `mocov3_tiny_400e_traced.onnx` | `raw/mocov3_tiny_400e_traced.pt` | 192-d |
+
+## Notes on the raw files
+- **MAE-Lite** raw files are TorchScript (`_traced.pt`), self-contained and loadable directly.
+- **ViT / XCiT** raw files are full DINO training checkpoints (`student`/`teacher`/`optimizer`/...).
+  The ONNX graphs were built by extracting the `student.backbone.*` weights into the matching
+  `timm` architecture (strict-clean load) and exporting; XCiT required `pos_embeder`→`pos_embed`
+  rename and qkv split/fuse between class-attention and XCA blocks.
+
+All inputs are `(batch, 3, 224, 224)`.