[
  {
    "metadataOutputVersion" : "3.0",
    "storagePrecision" : "Float16",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "",
        "shape" : "[]",
        "name" : "embOutput",
        "type" : "MultiArray"
      }
    ],
    "modelParameters" : [

    ],
    "specificationVersion" : 7,
    "mlProgramOperationTypeHistogram" : {
      "Concat" : 3,
      "Ios16.cast" : 2,
      "Ios16.mul" : 37,
      "Ios16.layerNorm" : 26,
      "SliceByIndex" : 37,
      "Transpose" : 63,
      "Shape" : 2,
      "Ios16.sigmoid" : 12,
      "Ios16.linear" : 49,
      "Ios16.add" : 27,
      "Fill" : 1,
      "Ios16.conv" : 1,
      "Squeeze" : 12,
      "Ios16.matmul" : 24,
      "ExpandDims" : 12,
      "Ios16.gather" : 2,
      "Ios16.softmax" : 12,
      "Ios16.reshape" : 109
    },
    "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.source_dialect" : "TorchScript",
      "com.github.apple.coremltools.source" : "torch==2.6.0+cu124",
      "com.github.apple.coremltools.version" : "8.3.0"
    },
    "inputSchema" : [
      {
        "formattedType" : "Image (Color 224 × 224)",
        "hasSizeFlexibility" : "1",
        "shortDescription" : "",
        "sizeRange" : "[[224, 224], [224, 224]]",
        "width" : "224",
        "type" : "Image",
        "isColor" : "1",
        "height" : "224",
        "sizeFlexibility" : "224 × 224",
        "colorspace" : "RGB",
        "name" : "colorImage",
        "isOptional" : "0"
      }
    ],
    "generatedClassName" : "ImageEncoder_float32_batch_16",
    "method" : "predict"
  }
]