[ { "shortDescription" : "pyannote community-1 PLDA transformation (x-vector whitening + PLDA projection)", "metadataOutputVersion" : "3.0", "outputSchema" : [ { "hasShapeFlexibility" : "0", "isOptional" : "0", "dataType" : "Float32", "formattedType" : "MultiArray (Float32 1 × 128)", "shortDescription" : "", "shape" : "[1, 128]", "name" : "plda_features", "type" : "MultiArray" } ], "version" : "pyannote-speaker-diarization-community-1", "modelParameters" : [ ], "author" : "Fluid Inference", "specificationVersion" : 8, "storagePrecision" : "Float32", "license" : "CC-BY-4.0", "mlProgramOperationTypeHistogram" : { "Ios16.reduceSum" : 2, "Ios17.clip" : 2, "Ios17.sqrt" : 2, "Ios17.linear" : 2, "Ios17.realDiv" : 2, "Ios17.mul" : 4, "Ios17.sub" : 3 }, "computePrecision" : "Mixed (Float32, Int32)", "stateSchema" : [ ], "isUpdatable" : "0", "availability" : { "macOS" : "14.0", "tvOS" : "17.0", "visionOS" : "1.0", "watchOS" : "10.0", "iOS" : "17.0", "macCatalyst" : "17.0" }, "modelType" : { "name" : "MLModelType_mlProgram" }, "inputSchema" : [ { "hasShapeFlexibility" : "0", "isOptional" : "0", "dataType" : "Float32", "formattedType" : "MultiArray (Float32 1 × 256)", "shortDescription" : "", "shape" : "[1, 256]", "name" : "embeddings", "type" : "MultiArray" } ], "userDefinedMetadata" : { "com.github.apple.coremltools.conversion_date" : "2025-10-01", "com.github.apple.coremltools.source" : "torch==2.8.0", "com.github.apple.coremltools.version" : "9.0b1", "com.github.apple.coremltools.source_dialect" : "TorchScript" }, "generatedClassName" : "plda_community_1", "method" : "predict" } ]