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com.johnsnowlabs.nlp.embeddings

ReadablePretrainedAutoGGUFEmbeddings

trait ReadablePretrainedAutoGGUFEmbeddings extends ParamsAndFeaturesFallbackReadable[AutoGGUFEmbeddings] with HasPretrained[AutoGGUFEmbeddings]

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Inherited
  1. ReadablePretrainedAutoGGUFEmbeddings
  2. HasPretrained
  3. ParamsAndFeaturesFallbackReadable
  4. ParamsAndFeaturesReadable
  5. DefaultParamsReadable
  6. MLReadable
  7. AnyRef
  8. Any
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Visibility
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Abstract Value Members

  1. abstract def fallbackLoad(folder: String, spark: SparkSession): AutoGGUFEmbeddings

    Fallback loader for when the main reader fails to load the model (e.g., missing params/features).

    Fallback loader for when the main reader fails to load the model (e.g., missing params/features).

    For example, we could use loadSavedModel to load a model with default parameters and features (if the model in the folder supports it).

    folder

    the folder where the model is stored

    spark

    the Spark session

    returns

    an instance of the model with default parameters and features loaded

    Definition Classes
    ParamsAndFeaturesFallbackReadable

Concrete 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: (AutoGGUFEmbeddings, 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
    ReadablePretrainedAutoGGUFEmbeddings → HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedAutoGGUFEmbeddings → 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 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): AutoGGUFEmbeddings
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def onRead(instance: AutoGGUFEmbeddings, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  22. def pretrained(name: String, lang: String, remoteLoc: String): AutoGGUFEmbeddings
    Definition Classes
    ReadablePretrainedAutoGGUFEmbeddings → HasPretrained
  23. def pretrained(name: String, lang: String): AutoGGUFEmbeddings
    Definition Classes
    ReadablePretrainedAutoGGUFEmbeddings → HasPretrained
  24. def pretrained(name: String): AutoGGUFEmbeddings
    Definition Classes
    ReadablePretrainedAutoGGUFEmbeddings → HasPretrained
  25. def pretrained(): AutoGGUFEmbeddings

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAutoGGUFEmbeddings → HasPretrained
  26. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): AutoGGUFEmbeddings

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  27. def pretrainedEngine(name: String, lang: String, preferredEngine: String): AutoGGUFEmbeddings
    Definition Classes
    HasPretrained
  28. def pretrainedEngine(name: String, preferredEngine: String): AutoGGUFEmbeddings
    Definition Classes
    HasPretrained
  29. def read: MLReader[AutoGGUFEmbeddings]
    Definition Classes
    ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  30. val readers: ArrayBuffer[(AutoGGUFEmbeddings, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  31. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  32. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  33. def toString(): String
    Definition Classes
    AnyRef → Any
  34. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from HasPretrained[AutoGGUFEmbeddings]

Inherited from ParamsAndFeaturesFallbackReadable[AutoGGUFEmbeddings]

Inherited from ParamsAndFeaturesReadable[AutoGGUFEmbeddings]

Inherited from DefaultParamsReadable[AutoGGUFEmbeddings]

Inherited from MLReadable[AutoGGUFEmbeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped