Packages

object AutoGGUFModel extends ReadablePretrainedAutoGGUFModel with ReadAutoGGUFModel with Serializable

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

Linear Supertypes
Serializable, Serializable, ReadAutoGGUFModel, ReadablePretrainedAutoGGUFModel, HasPretrained[AutoGGUFModel], ParamsAndFeaturesFallbackReadable[AutoGGUFModel], ParamsAndFeaturesReadable[AutoGGUFModel], DefaultParamsReadable[AutoGGUFModel], MLReadable[AutoGGUFModel], AnyRef, Any
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  2. By Inheritance
Inherited
  1. AutoGGUFModel
  2. Serializable
  3. Serializable
  4. ReadAutoGGUFModel
  5. ReadablePretrainedAutoGGUFModel
  6. HasPretrained
  7. ParamsAndFeaturesFallbackReadable
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addReader(reader: (AutoGGUFModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val defaultLang: String
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def fallbackLoad(folder: String, spark: SparkSession): AutoGGUFModel
    Definition Classes
    ReadAutoGGUFModel
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def load(path: String): AutoGGUFModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession): AutoGGUFModel
    Definition Classes
    ReadAutoGGUFModel
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. def onRead(instance: AutoGGUFModel, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. def pretrained(name: String, lang: String, remoteLoc: String): AutoGGUFModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  24. def pretrained(name: String, lang: String): AutoGGUFModel
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  25. def pretrained(name: String): AutoGGUFModel
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  26. def pretrained(): AutoGGUFModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  27. def read: MLReader[AutoGGUFModel]
    Definition Classes
    ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  28. def readModel(instance: AutoGGUFModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadAutoGGUFModel
  29. val readers: ArrayBuffer[(AutoGGUFModel, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. def toString(): String
    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadAutoGGUFModel

Inherited from ReadablePretrainedAutoGGUFModel

Inherited from HasPretrained[AutoGGUFModel]

Inherited from ParamsAndFeaturesFallbackReadable[AutoGGUFModel]

Inherited from ParamsAndFeaturesReadable[AutoGGUFModel]

Inherited from DefaultParamsReadable[AutoGGUFModel]

Inherited from MLReadable[AutoGGUFModel]

Inherited from AnyRef

Inherited from Any

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