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.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
+onnx/model_quantized.onnx_data filter=lfs diff=lfs merge=lfs -text

config.json

@@ -0,0 +1,31 @@
+{
+  "architectures": [
+    "DINOv3ConvNextModel"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
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+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
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+    256,
+    512,
+    1024
+  ],
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-06,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "dinov3_convnext",
+  "num_channels": 3,
+  "torch_dtype": "float32",
+  "transformers_version": "4.56.0.dev0",
+  "transformers.js_config": {
+    "dtype": "fp32",
+    "use_external_data_format": true
+  }
+}

onnx/model.onnx

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onnx/model.onnx_data

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onnx/model_q4.onnx

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onnx/model_quantized.onnx

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onnx/model_quantized.onnx_data

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preprocessor_config.json

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+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "DINOv3ViTImageProcessorFast",
+  "image_std": [
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+    0.224,
+    0.225
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+  "input_data_format": null,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "return_tensors": null,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}