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README.md

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+# Tara Models
+
+ONNX models for [Tara](https://github.com/QuatZo/tara) - browser-native visual document translation.
+
+## Models
+
+| Model | File | Size | Source | Changes |
+|-------|------|------|--------|---------|
+| RT-DETR-v2 (detector) | detector.onnx | 161 MB | [ogkalu/comic-text-and-bubble-detector](https://huggingface.co/ogkalu/comic-text-and-bubble-detector) | Patched AveragePool ceil_mode=0 for WebGPU compatibility |
+| LaMa (inpainter) | lama-manga-dynamic.onnx | 197 MB | [ogkalu/lama-manga-onnx-dynamic](https://huggingface.co/ogkalu/lama-manga-onnx-dynamic) | No changes, original model |
+
+## Why this repo?
+
+The original detector.onnx uses AveragePool with ceil_mode=1, which onnxruntime-web's WebGPU backend does not support. This repo hosts a patched version where ceil_mode is set to 0. Since all AveragePool nodes use kernel=2x2 stride=2 on even-dimension inputs (640x640), this change has no effect on output.
+
+The LaMa inpainter works as-is and is included here for convenience (single download source).
+
+## Usage
+
+These models are loaded by Tara via the browser Cache API. On first visit, the app downloads both models (~360 MB total) and caches them locally. Subsequent visits load from cache instantly.
+
+Direct download URLs:
+- https://huggingface.co/QuatZo/tara-models/resolve/main/detector.onnx
+- https://huggingface.co/QuatZo/tara-models/resolve/main/lama-manga-dynamic.onnx
+
+## License
+
+Original models by [ogkalu](https://huggingface.co/ogkalu). See the source repositories for license information.