Object/Class

com.johnsnowlabs.nlp.annotators.classifier.dl

XlmRoBertaForTokenClassification

Related Docs: class XlmRoBertaForTokenClassification | package dl

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object XlmRoBertaForTokenClassification extends ReadablePretrainedXlmRoBertaForTokenModel with ReadXlmRoBertaForTokenTensorflowModel with Serializable

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

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Inherited
  1. XlmRoBertaForTokenClassification
  2. Serializable
  3. Serializable
  4. ReadXlmRoBertaForTokenTensorflowModel
  5. ReadSentencePieceModel
  6. ReadTensorflowModel
  7. ReadablePretrainedXlmRoBertaForTokenModel
  8. HasPretrained
  9. ParamsAndFeaturesReadable
  10. DefaultParamsReadable
  11. MLReadable
  12. AnyRef
  13. Any
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Value Members

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

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  2. final def ##(): Int

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

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

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    Definition Classes
    ParamsAndFeaturesReadable
  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  7. val defaultLang: String

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    Definition Classes
    HasPretrained
  8. lazy val defaultLoc: String

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    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def load(path: String): XlmRoBertaForTokenClassification

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(tfModelPath: String, spark: SparkSession): XlmRoBertaForTokenClassification

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def pretrained(name: String, lang: String, remoteLoc: String): XlmRoBertaForTokenClassification

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    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedXlmRoBertaForTokenModelHasPretrained
  22. def pretrained(name: String, lang: String): XlmRoBertaForTokenClassification

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  23. def pretrained(name: String): XlmRoBertaForTokenClassification

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  24. def pretrained(): XlmRoBertaForTokenClassification

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    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedXlmRoBertaForTokenModelHasPretrained
  25. def read: MLReader[XlmRoBertaForTokenClassification]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  26. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper

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    Definition Classes
    ReadSentencePieceModel
  27. def readTensorflow(instance: XlmRoBertaForTokenClassification, path: String, spark: SparkSession): Unit

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  28. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel
  29. def readTensorflowHub(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
  30. 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

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    Definition Classes
    ReadTensorflowModel
  31. 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

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    Definition Classes
    ReadTensorflowModel
  32. val sppFile: String

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

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  34. val tfFile: String

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  35. def toString(): String

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  36. final def wait(): Unit

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    @throws( ... )
  37. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  38. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from ReadSentencePieceModel

Inherited from ReadTensorflowModel

Inherited from DefaultParamsReadable[XlmRoBertaForTokenClassification]

Inherited from MLReadable[XlmRoBertaForTokenClassification]

Inherited from AnyRef

Inherited from Any

Ungrouped