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config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "Xenova/quickdraw-mobilevit-small",
   "architectures": [
     "MobileViTForImageClassification"
   ],
@@ -736,6 +737,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "semantic_loss_ignore_index": 255,
-  "torch_dtype": "float32",
-  "transformers_version": "4.30.2"
+  "transformers_version": "4.31.0.dev0"
 }

onnx/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bdc99cd7001442a59de5a4b9074ca7fe81cf894e5927c7c9b3d6e6b2dce20801
-size 20925185
+oid sha256:7f75b9ae64fc07da1ebad845b20be8d54f9fa04796927ddc7d27c7745727416a
+size 20928498

onnx/model_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1daa5ef465a39c33592dab87d900d87d74b75e54eb1a65620728cc2d97eb69dd
-size 5878672
+oid sha256:c87522bb3ef787fa18f3b188433035eb9b887a101d121942eff0b5e74638a034
+size 5884425

preprocessor_config.json

@@ -3,8 +3,8 @@
     "height": 28,
     "width": 28
   },
-  "do_convert_rgb": false,
   "do_center_crop": true,
+  "do_convert_rgb": false,
   "do_flip_channel_order": true,
   "do_flip_channels": true,
   "do_rescale": true,

quant_config.json

@@ -4,25 +4,28 @@
     "per_model_config": {
         "model": {
             "op_types": [
-                "Constant",
                 "Sqrt",
-                "Unsqueeze",
-                "Mul",
-                "Sigmoid",
-                "Softmax",
-                "Concat",
                 "Gemm",
-                "Div",
-                "MatMul",
-                "Sub",
-                "ReduceMean",
+                "Concat",
+                "Sigmoid",
+                "Unsqueeze",
                 "Shape",
                 "Gather",
+                "ReduceMean",
+                "Slice",
+                "Transpose",
+                "Resize",
+                "Sub",
+                "Pow",
                 "Reshape",
+                "Softmax",
+                "Constant",
+                "Cast",
+                "Mul",
                 "Add",
-                "Pow",
                 "Conv",
-                "Transpose"
+                "MatMul",
+                "Div"
             ],
             "weight_type": "QUInt8"
         }