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config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "no_curb_ramp_dinov2_tiny_onnx",
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "correct",
+    "1": "incorrect"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "correct": 0,
+    "incorrect": 1
+  },
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 6,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 14,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "transformers_version": "4.48.3",
+  "use_mask_token": true,
+  "use_swiglu_ffn": false
+}

onnx/model_quantized.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:37763e2f481683d2a93471618ed21d5f481281e3fd97d1a9699bcf6ccaaf5b22
+size 24625231

ort_config.json

@@ -0,0 +1,52 @@
+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "quantization": {
+    "activations_dtype": "QUInt8",
+    "activations_symmetric": false,
+    "format": "QOperator",
+    "is_static": false,
+    "mode": "IntegerOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "Concat",
+      "Constant",
+      "Resize",
+      "Conv",
+      "Div",
+      "Unsqueeze",
+      "Shape",
+      "Gemm",
+      "MatMul",
+      "Transpose",
+      "Pow",
+      "Softmax",
+      "Slice",
+      "Where",
+      "Expand",
+      "ReduceMean",
+      "Mul",
+      "Add",
+      "Sqrt",
+      "Gather",
+      "Sub",
+      "ConstantOfShape",
+      "Reshape",
+      "Equal",
+      "Identity",
+      "Erf"
+    ],
+    "per_channel": true,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
+    },
+    "reduce_range": true,
+    "weights_dtype": "QUInt8",
+    "weights_symmetric": true
+  },
+  "use_external_data_format": false
+}

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}