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config.json

@@ -71,7 +71,7 @@
     6
   ],
   "semantic_loss_ignore_index": 255,
-  "transformers_version": "4.34.0.dev0",
+  "transformers_version": "4.33.2",
   "use_absolute_position_embeddings": true,
   "use_auxiliary_head": true,
   "use_mask_token": false,

onnx/model.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71483a5729a7b813b12eb92edf7b7fd8842a38974bd28a5b5fe037b27d0c1c59
-size 343549530
+oid sha256:dd05272d1004069b5be16b093aeeaff953754db59a1840620528e8e037487c15
+size 343549531

onnx/model_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0145573254871b9d86104439fc6c5fe7c041832cdf284a838d744fd80eeb38af
-size 87538326
+oid sha256:240baf0ed43007ff6d7d8edeb5fc77bbd34db437bc81a173dd4deb58a9a74a94
+size 87538327

quantize_config.json

@@ -4,30 +4,30 @@
     "per_model_config": {
         "model": {
             "op_types": [
-                "Sub",
-                "Expand",
-                "MatMul",
-                "Add",
-                "Reshape",
-                "Gather",
-                "Erf",
-                "Equal",
-                "Conv",
-                "Constant",
-                "Sqrt",
-                "Where",
-                "Pow",
                 "Gemm",
+                "Pow",
+                "Sqrt",
+                "ConstantOfShape",
                 "Concat",
+                "MatMul",
+                "Slice",
+                "Conv",
+                "Gather",
                 "Transpose",
-                "ReduceMean",
-                "ConstantOfShape",
+                "Add",
+                "Equal",
+                "Mul",
+                "Reshape",
                 "Div",
+                "ReduceMean",
+                "Erf",
                 "Shape",
+                "Where",
+                "Constant",
                 "Unsqueeze",
-                "Slice",
-                "Mul",
-                "Softmax"
+                "Softmax",
+                "Expand",
+                "Sub"
             ],
             "weight_type": "QUInt8"
         }