Upload 4 files

config.json

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+{
+  "_name_or_path": "onnx_model_2",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2
+  ],
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "finetuning_task": "image-classification",
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    32,
+    64
+  ],
+  "id2label": {
+    "0": "angular_leaf_spot",
+    "1": "bean_rust",
+    "2": "healthy"
+  },
+  "image_size": 224,
+  "label2id": {
+    "angular_leaf_spot": "0",
+    "bean_rust": "1",
+    "healthy": "2"
+  },
+  "layer_type": "basic",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": null,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2"
+  ],
+  "transformers_version": "4.27.4"
+}

model_quantized.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b23f869de63d1158f0fc877f9c97210bd47b4c79fcd0f26d20687febfb9ddaaa
+size 779978

ort_config.json

@@ -0,0 +1,30 @@
+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "optimum_version": "1.7.4.dev0",
+  "quantization": {
+    "activations_dtype": "QInt8",
+    "activations_symmetric": false,
+    "format": "QDQ",
+    "is_static": true,
+    "mode": "QLinearOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "MatMul",
+      "Add"
+    ],
+    "per_channel": false,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
+    },
+    "reduce_range": false,
+    "weights_dtype": "QInt8",
+    "weights_symmetric": true
+  },
+  "transformers_version": "4.27.4",
+  "use_external_data_format": false
+}

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ConvNextFeatureExtractor",
+  "image_mean": [
+    0.45,
+    0.45,
+    0.45
+  ],
+  "image_processor_type": "ConvNextFeatureExtractor",
+  "image_std": [
+    0.22,
+    0.22,
+    0.22
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}