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speakerkit-pro

Automatic Speech Recognition
WhisperKit
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Update pyannote-v3-pro speaker_embedder

#2
by arda-argmax - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+1243
-1243
Files changed (17) hide show
  1. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/analytics/coremldata.bin +1 -1
  2. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/coremldata.bin +1 -1
  3. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/metadata.json +7 -7
  4. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/model.mil +0 -0
  5. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/analytics/coremldata.bin +1 -1
  6. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/coremldata.bin +1 -1
  7. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/metadata.json +3 -3
  8. speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/model.mil +1 -1
  9. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedder.mlmodelc/analytics/coremldata.bin +1 -1
  10. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedder.mlmodelc/coremldata.bin +1 -1
  11. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedder.mlmodelc/metadata.json +6 -6
  12. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedder.mlmodelc/model.mil +0 -0
  13. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedder.mlmodelc/weights/weight.bin +1 -1
  14. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedderPreprocessor.mlmodelc/analytics/coremldata.bin +1 -1
  15. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedderPreprocessor.mlmodelc/coremldata.bin +1 -1
  16. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedderPreprocessor.mlmodelc/metadata.json +3 -3
  17. speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedderPreprocessor.mlmodelc/model.mil +1 -1
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speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/metadata.json CHANGED
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  },
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  "userDefinedMetadata" : {
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  "com.github.apple.coremltools.source_dialect" : "TorchScript",
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- "com.github.apple.coremltools.version" : "8.2",
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- "com.github.apple.coremltools.source" : "torch==2.6.0"
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  },
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  "inputSchema" : [
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  {
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  "hasShapeFlexibility" : "0",
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- "shape" : "[1, 998, 80]",
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  "name" : "preprocessor_output_1",
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  "type" : "MultiArray"
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@@ -73,14 +73,14 @@
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  "hasShapeFlexibility" : "0",
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- "formattedType" : "MultiArray (Float16 1 × 64 × 589)",
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  "shortDescription" : "",
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- "shape" : "[1, 64, 589]",
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  "name" : "speaker_masks",
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  "type" : "MultiArray"
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  ],
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- "generatedClassName" : "SpeakerEmbedding",
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  "method" : "predict"
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  "userDefinedMetadata" : {
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  {
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  "hasShapeFlexibility" : "0",
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  "name" : "speaker_masks",
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+ "generatedClassName" : "SpeakerEmbedder",
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speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedder.mlmodelc/model.mil CHANGED
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speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/analytics/coremldata.bin CHANGED
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speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/metadata.json CHANGED
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  },
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  "userDefinedMetadata" : {
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  "com.github.apple.coremltools.source_dialect" : "TorchScript",
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- "com.github.apple.coremltools.source" : "torch==2.6.0",
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  "inputSchema" : [
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  "userDefinedMetadata" : {
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  "com.github.apple.coremltools.source_dialect" : "TorchScript",
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  "inputSchema" : [
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+ "generatedClassName" : "SpeakerEmbedderPreprocessor",
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  "method" : "predict"
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  }
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speaker_embedder/pyannote-v3-pro/W16A16/SpeakerEmbedderPreprocessor.mlmodelc/model.mil CHANGED
@@ -1,5 +1,5 @@
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- [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"}})]
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  func main<ios16>(tensor<fp16, [1, 480000]> waveforms) {
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  tensor<string, []> cast_0_dtype_0 = const()[name = tensor<string, []>("cast_0_dtype_0"), val = tensor<string, []>("fp32")];
 
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  tensor<string, []> cast_0_dtype_0 = const()[name = tensor<string, []>("cast_0_dtype_0"), val = tensor<string, []>("fp32")];
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speaker_embedder/pyannote-v3-pro/W8A16/SpeakerEmbedderPreprocessor.mlmodelc/model.mil CHANGED
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- [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"}})]
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5
  tensor<string, []> cast_0_dtype_0 = const()[name = tensor<string, []>("cast_0_dtype_0"), val = tensor<string, []>("fp32")];
 
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