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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:caf4b996aa38d5d7de509fa93053bc2f552b487925e5940287dd0f5ac96caca4
-size 1213904194
+oid sha256:e03c8eebea4b4728c70bc328c63ed08cc17d71a77c3f9afecbcded4344fa6a71
+size 1213904195

onnx/model_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79c4108e944bc8d25bfa8071dc123eb3ecb534cb84298a72d476eb1c90b28313
-size 306997513
+oid sha256:2d6c52fb2333027b174b10ff649ea31058f7a6a0be3c0e7c75888735c624b1dc
+size 306997514

quantize_config.json

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