Object/Class

com.johnsnowlabs.nlp.embeddings

BertEmbeddings

Related Docs: class BertEmbeddings | package embeddings

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object BertEmbeddings extends ParamsAndFeaturesReadable[BertEmbeddings] with PretrainedBertModel with ReadBertTensorflowModel with Serializable

Linear Supertypes
Serializable, Serializable, ReadBertTensorflowModel, ReadTensorflowModel, PretrainedBertModel, ParamsAndFeaturesReadable[BertEmbeddings], DefaultParamsReadable[BertEmbeddings], MLReadable[BertEmbeddings], AnyRef, Any
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Inherited
  1. BertEmbeddings
  2. Serializable
  3. Serializable
  4. ReadBertTensorflowModel
  5. ReadTensorflowModel
  6. PretrainedBertModel
  7. ParamsAndFeaturesReadable
  8. DefaultParamsReadable
  9. MLReadable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def addReader(reader: (BertEmbeddings, String, SparkSession) ⇒ Unit): Unit

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    Definition Classes
    ParamsAndFeaturesReadable

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. def load(path: String): BertEmbeddings

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )

  14. def loadFromPython(folder: String, spark: SparkSession): BertEmbeddings

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    Definition Classes
    ReadBertTensorflowModel

  15. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  16. final def notify(): Unit

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    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  18. def pretrained(name: String = "bert_uncased", lang: String = "en", remoteLoc: String = ResourceDownloader.publicLoc): BertEmbeddings

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    Definition Classes
    PretrainedBertModel

  19. def read: MLReader[BertEmbeddings]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

  20. def readTensorflow(instance: BertEmbeddings, path: String, spark: SparkSession): Unit

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    Definition Classes
    ReadBertTensorflowModel

  21. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel

  22. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  23. val tfFile: String

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    Definition Classes
    ReadBertTensorflowModel → ReadTensorflowModel

  24. def toString(): String

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    Definition Classes
    AnyRef → Any

  25. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  26. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  27. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from ReadBertTensorflowModel

Inherited from ReadTensorflowModel

Inherited from PretrainedBertModel

Inherited from ParamsAndFeaturesReadable[BertEmbeddings]

Inherited from DefaultParamsReadable[BertEmbeddings]

Inherited from MLReadable[BertEmbeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped