Emo.mlmodelc/metadata.json

[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Mixed (Float16, Palettized (4 bits))",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float16",
        "formattedType" : "MultiArray (Float16 812)",
        "shortDescription" : "",
        "shape" : "[812]",
        "name" : "probabilities",
        "type" : "MultiArray"
      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 7,
    "mlProgramOperationTypeHistogram" : {
      "Concat" : 3,
      "Ios16.cast" : 2,
      "Ios16.mul" : 13,
      "Ios16.layerNorm" : 5,
      "SliceByIndex" : 31,
      "Ios16.constexprLutToDense" : 14,
      "Ios16.linear" : 11,
      "Ios16.realDiv" : 1,
      "Ios16.add" : 4,
      "Ios16.softmax" : 10,
      "Ios16.matmul" : 16,
      "Ios16.reduceSum" : 4,
      "ExpandDims" : 3,
      "Ios16.gather" : 3,
      "Ios16.gelu" : 3,
      "Identity" : 1,
      "Ios16.tanh" : 1
    },
    "computePrecision" : "Mixed (Float16, Float32, Int32)",
    "isUpdatable" : "0",
    "stateSchema" : [

    ],
    "availability" : {
      "macOS" : "13.0",
      "tvOS" : "16.0",
      "visionOS" : "1.0",
      "watchOS" : "9.0",
      "iOS" : "16.0",
      "macCatalyst" : "16.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "userDefinedMetadata" : {
      "com.github.apple.coremltools.conversion_date" : "2026-07-07",
      "com.github.apple.coremltools.source" : "torch==2.12.0+cu130",
      "com.github.apple.coremltools.version" : "9.0",
      "com.github.apple.coremltools.source_dialect" : "TorchScript"
    },
    "inputSchema" : [
      {
        "dataType" : "Int32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1...1024 × 3",
        "shapeRange" : "[[1, 1024], [3, 3]]",
        "formattedType" : "MultiArray (Int32 10 × 3)",
        "type" : "MultiArray",
        "shape" : "[10, 3]",
        "name" : "ngram_buckets",
        "shortDescription" : ""
      },
      {
        "dataType" : "Float32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1...1024 × 3",
        "shapeRange" : "[[1, 1024], [3, 3]]",
        "formattedType" : "MultiArray (Float32 10 × 3)",
        "type" : "MultiArray",
        "shape" : "[10, 3]",
        "name" : "ngram_signs",
        "shortDescription" : ""
      },
      {
        "dataType" : "Int32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1...1024",
        "shapeRange" : "[[1, 1024]]",
        "formattedType" : "MultiArray (Int32 10)",
        "type" : "MultiArray",
        "shape" : "[10]",
        "name" : "ngram_importance",
        "shortDescription" : ""
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32 1)",
        "shortDescription" : "",
        "shape" : "[1]",
        "name" : "ngram_count",
        "type" : "MultiArray"
      },
      {
        "dataType" : "Int32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1...1024",
        "shapeRange" : "[[1, 1024]]",
        "formattedType" : "MultiArray (Int32 8)",
        "type" : "MultiArray",
        "shape" : "[8]",
        "name" : "sem_ids",
        "shortDescription" : ""
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32 1)",
        "shortDescription" : "",
        "shape" : "[1]",
        "name" : "sem_count",
        "type" : "MultiArray"
      }
    ],
    "generatedClassName" : "Emo",
    "method" : "predict"
  }
]