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. val defaultPreferredEngine: String
    Definition Classes
    HasPretrained
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def fallbackLoad(folder: String, spark: SparkSession): AutoGGUFModel
    Definition Classes
    ReadAutoGGUFModel
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def load(path: String): AutoGGUFModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  19. def loadSavedModel(modelPath: String, spark: SparkSession): AutoGGUFModel
    Definition Classes
    ReadAutoGGUFModel
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. def onRead(instance: AutoGGUFModel, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  24. def pretrained(name: String, lang: String, remoteLoc: String): AutoGGUFModel
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  25. def pretrained(name: String, lang: String): AutoGGUFModel
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  26. def pretrained(name: String): AutoGGUFModel
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  27. def pretrained(): AutoGGUFModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  28. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): AutoGGUFModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  29. def pretrainedEngine(name: String, lang: String, preferredEngine: String): AutoGGUFModel
    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, preferredEngine: String): AutoGGUFModel
    Definition Classes
    HasPretrained
  31. def read: MLReader[AutoGGUFModel]
    Definition Classes
    ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  32. def readModel(instance: AutoGGUFModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadAutoGGUFModel
  33. val readers: ArrayBuffer[(AutoGGUFModel, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  34. val skipPreferredEngine: Boolean
    Definition Classes
    ReadablePretrainedAutoGGUFModel → HasPretrained
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. def toString(): String
    Definition Classes
    AnyRef → Any
  37. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. 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

Ungrouped