[
  {
    "shortDescription" : "--",
    "metadataOutputVersion" : "3.0",
    "outputSchema" : [
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "LSTM Ouput",
        "shape" : "[]",
        "name" : "lstm_output",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "LSTM Hidden output",
        "shape" : "[]",
        "name" : "hn",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "Sequence tag logits",
        "shape" : "[]",
        "name" : "sequence_tags",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Int32",
        "formattedType" : "MultiArray (Int32)",
        "shortDescription" : "Predicted class labels",
        "shape" : "[]",
        "name" : "reduce_argmax_0",
        "type" : "MultiArray"
      },
      {
        "hasShapeFlexibility" : "0",
        "isOptional" : "0",
        "dataType" : "Float32",
        "formattedType" : "MultiArray (Float32)",
        "shortDescription" : "Predicted class confidence",
        "shape" : "[]",
        "name" : "reduce_max_0",
        "type" : "MultiArray"
      }
    ],
    "version" : "--",
    "modelParameters" : [

    ],
    "author" : "--",
    "specificationVersion" : 6,
    "storagePrecision" : "Mixed (Float16, Float32)",
    "license" : "--",
    "mlProgramOperationTypeHistogram" : {
      "Concat" : 2,
      "Lstm" : 3,
      "Linear" : 2,
      "SliceByIndex" : 1,
      "Transpose" : 2,
      "Stack" : 3,
      "ReduceMax" : 1,
      "Relu" : 1,
      "Softmax" : 2,
      "Cast" : 9,
      "Tile" : 1,
      "Mul" : 1,
      "ExpandDims" : 1,
      "ReduceArgmax" : 1,
      "Gather" : 1,
      "Split" : 3
    },
    "computePrecision" : "Mixed (Float16, Float32, Int32)",
    "stateSchema" : [

    ],
    "isUpdatable" : "0",
    "availability" : {
      "macOS" : "12.0",
      "tvOS" : "15.0",
      "visionOS" : "1.0",
      "watchOS" : "8.0",
      "iOS" : "15.0",
      "macCatalyst" : "15.0"
    },
    "modelType" : {
      "name" : "MLModelType_mlProgram"
    },
    "inputSchema" : [
      {
        "dataType" : "Int32",
        "hasShapeFlexibility" : "1",
        "isOptional" : "0",
        "shapeFlexibility" : "1 × 1...64",
        "shapeRange" : "[[1, 1], [1, 64]]",
        "formattedType" : "MultiArray (Int32 1 × 1)",
        "type" : "MultiArray",
        "shape" : "[1, 1]",
        "name" : "token_ids",
        "shortDescription" : "--"
      }
    ],
    "userDefinedMetadata" : {
      "mldb_token" : "mldb-jvakw8rano",
      "maxLength" : "64",
      "boltTask" : "e9mmpdat5k"
    },
    "generatedClassName" : "MentionGenerationModel",
    "method" : "predict"
  }
]