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config.json

@@ -2523,7 +2523,7 @@
     1
   ],
   "tokenizer_class": "Wav2Vec2CTCTokenizer",
-  "transformers_version": "4.37.2",
+  "transformers_version": "4.33.2",
   "use_weighted_layer_sum": true,
   "vocab_size": 32,
   "xvector_output_dim": 512

onnx/model_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a56ac176f01d43b87de057b19813d173208f7f2b89146dfb76c863870b873525
-size 101933917
+oid sha256:b3d6c0dd7ff8e4d7f6c9d99eb209f3afde0eb317c65f18c1ce5551b30ca7db82
+size 101489573

quantize_config.json

@@ -1,36 +1,36 @@
 {
-    "per_channel": true,
-    "reduce_range": true,
+    "per_channel": false,
+    "reduce_range": false,
     "per_model_config": {
         "model": {
             "op_types": [
-                "Gather",
-                "Div",
-                "Erf",
-                "Shape",
-                "Conv",
-                "Constant",
-                "Sub",
-                "ReduceSum",
-                "ReduceMean",
-                "InstanceNormalization",
-                "Mul",
                 "ReduceProd",
-                "Range",
-                "Reshape",
-                "Transpose",
-                "Add",
-                "Slice",
                 "Pad",
+                "Shape",
+                "InstanceNormalization",
+                "ReduceSum",
                 "Unsqueeze",
+                "Transpose",
                 "Pow",
-                "Cast",
-                "MatMul",
                 "Relu",
+                "Concat",
+                "MatMul",
+                "Cast",
+                "Add",
                 "Sqrt",
+                "Erf",
                 "Gemm",
-                "Concat",
-                "Softmax"
+                "Softmax",
+                "Div",
+                "Constant",
+                "ReduceMean",
+                "Sub",
+                "Reshape",
+                "Gather",
+                "Range",
+                "Conv",
+                "Mul",
+                "Slice"
             ],
             "weight_type": "QUInt8"
         }