object HubertForCTC extends ReadablePretrainedHubertForAudioModel with ReadHubertForAudioDLModel with Serializable

This is the companion object of HubertForCTC. Please refer to that class for the documentation.

Linear Supertypes
Serializable, Serializable, ReadHubertForAudioDLModel, ReadOpenvinoModel, ReadOnnxModel, ReadTensorflowModel, ReadablePretrainedHubertForAudioModel, HasPretrained[HubertForCTC], ParamsAndFeaturesReadable[HubertForCTC], DefaultParamsReadable[HubertForCTC], MLReadable[HubertForCTC], AnyRef, Any
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Inherited
  1. HubertForCTC
  2. Serializable
  3. Serializable
  4. ReadHubertForAudioDLModel
  5. ReadOpenvinoModel
  6. ReadOnnxModel
  7. ReadTensorflowModel
  8. ReadablePretrainedHubertForAudioModel
  9. HasPretrained
  10. ParamsAndFeaturesReadable
  11. DefaultParamsReadable
  12. MLReadable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Value Members

  1. def addReader(reader: (HubertForCTC, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  2. val defaultLang: String
    Definition Classes
    HasPretrained
  3. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  4. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedHubertForAudioModel → HasPretrained
  5. def load(path: String): HubertForCTC
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def loadSavedModel(modelPath: String, spark: SparkSession): HubertForCTC
    Definition Classes
    ReadHubertForAudioDLModel
  7. val onnxFile: String
    Definition Classes
    ReadHubertForAudioDLModel → ReadOnnxModel
  8. val openvinoFile: String
    Definition Classes
    ReadHubertForAudioDLModel → ReadOpenvinoModel
  9. def pretrained(name: String, lang: String, remoteLoc: String): HubertForCTC

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedHubertForAudioModel → HasPretrained
  10. def pretrained(name: String, lang: String): HubertForCTC
    Definition Classes
    ReadablePretrainedHubertForAudioModel → HasPretrained
  11. def pretrained(name: String): HubertForCTC
    Definition Classes
    ReadablePretrainedHubertForAudioModel → HasPretrained
  12. def pretrained(): HubertForCTC

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedHubertForAudioModel → HasPretrained
  13. def read: MLReader[HubertForCTC]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  14. def readModel(instance: HubertForCTC, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadHubertForAudioDLModel
  15. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper
    Definition Classes
    ReadOnnxModel
  16. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  17. def readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
    Definition Classes
    ReadOpenvinoModel
  18. def readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
    Definition Classes
    ReadOpenvinoModel
  19. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  20. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  21. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  22. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  23. val tfFile: String
    Definition Classes
    ReadHubertForAudioDLModel → ReadTensorflowModel