Update pyannote-v3-pro W16A16 speaker_embedder

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
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-oid sha256:31ebd86f9f3a87ee2bb1aa32722968e3f6821d6b393171bb6b92683213f173e1
+oid sha256:17d567af44a172e09251880ccdb8bca4431a2ebdeaf0167fb033dc5d03654c31
 size 243

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
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-oid sha256:1bbb69d66cdb7f69a6c9d4dc1ff9b114d6097bb69581e12a706cf16e27ce10be
+oid sha256:a45c627a63eb0a24cfbdb5baf7bca25b6755170841cc62c026f1522fedcdafb6
 size 370

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/metadata.json

@@ -55,17 +55,17 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.version" : "8.2",
-      "com.github.apple.coremltools.source" : "torch==2.6.0"
+      "com.github.apple.coremltools.source" : "torch==2.5.1",
+      "com.github.apple.coremltools.version" : "8.1"
     },
     "inputSchema" : [
       {
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
         "dataType" : "Float16",
-        "formattedType" : "MultiArray (Float16 1 × 998 × 80)",
+        "formattedType" : "MultiArray (Float16 1 × 2998 × 80)",
         "shortDescription" : "",
-        "shape" : "[1, 998, 80]",
+        "shape" : "[1, 2998, 80]",
         "name" : "preprocessor_output_1",
         "type" : "MultiArray"
       },
@@ -73,14 +73,14 @@
         "hasShapeFlexibility" : "0",
         "isOptional" : "0",
         "dataType" : "Float16",
-        "formattedType" : "MultiArray (Float16 1 × 64 × 589)",
+        "formattedType" : "MultiArray (Float16 1 × 64 × 1767)",
         "shortDescription" : "",
-        "shape" : "[1, 64, 589]",
+        "shape" : "[1, 64, 1767]",
         "name" : "speaker_masks",
         "type" : "MultiArray"
       }
     ],
-    "generatedClassName" : "SpeakerEmbedding",
+    "generatedClassName" : "SpeakerEmbedder",
     "method" : "predict"
   }
 ]

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
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+oid sha256:ce9bef9fb3125a5401300b5c5998c5d8f211094692cae780645d3e2757410f2c
 size 243

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
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-oid sha256:dc230803421bf4fe14f843ea5b5fa0035487fd19cdd69ed670d72560b6a44586
+oid sha256:b4ebd0b9ce5a84768672663aff426eb19f9648d4b9f74286f0e19fc753ad76ba
 size 330

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/metadata.json

@@ -56,8 +56,8 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.source_dialect" : "TorchScript",
-      "com.github.apple.coremltools.source" : "torch==2.6.0",
-      "com.github.apple.coremltools.version" : "8.2"
+      "com.github.apple.coremltools.source" : "torch==2.5.1",
+      "com.github.apple.coremltools.version" : "8.1"
     },
     "inputSchema" : [
       {
@@ -71,7 +71,7 @@
         "type" : "MultiArray"
       }
     ],
-    "generatedClassName" : "SpeakerEmbeddingPreprocessor",
+    "generatedClassName" : "SpeakerEmbedderPreprocessor",
     "method" : "predict"
   }
 ]

speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/model.mil

@@ -1,5 +1,5 @@
 program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3402.3.2"}, {"coremlc-version", "3402.4.1"}, {"coremltools-component-torch", "2.6.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.2"}})]
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3401.3.1"}, {"coremlc-version", "3401.4.1"}, {"coremltools-component-torch", "2.5.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.1"}})]
 {
     func main<ios16>(tensor<fp16, [1, 480000]> waveforms) {
             tensor<string, []> cast_0_dtype_0 = const()[name = tensor<string, []>("cast_0_dtype_0"), val = tensor<string, []>("fp32")];