Packages

object DeBertaForTokenClassification extends ReadablePretrainedDeBertaForTokenModel with ReadDeBertaForTokenDLModel with Serializable

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Inherited
  1. DeBertaForTokenClassification
  2. Serializable
  3. Serializable
  4. ReadDeBertaForTokenDLModel
  5. ReadOpenvinoModel
  6. ReadSentencePieceModel
  7. ReadOnnxModel
  8. ReadTensorflowModel
  9. ReadablePretrainedDeBertaForTokenModel
  10. HasPretrained
  11. ParamsAndFeaturesReadable
  12. DefaultParamsReadable
  13. MLReadable
  14. AnyRef
  15. Any
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Visibility
  1. Public
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Value Members

  1. def addReader(reader: (DeBertaForTokenClassification, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  2. val defaultLang: String
    Definition Classes
    HasPretrained
  3. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  4. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedDeBertaForTokenModel → HasPretrained
  5. def load(path: String): DeBertaForTokenClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def loadSavedModel(modelPath: String, spark: SparkSession): DeBertaForTokenClassification
    Definition Classes
    ReadDeBertaForTokenDLModel
  7. val onnxFile: String
    Definition Classes
    ReadDeBertaForTokenDLModel → ReadOnnxModel
  8. val openvinoFile: String
    Definition Classes
    ReadDeBertaForTokenDLModel → ReadOpenvinoModel
  9. def pretrained(name: String, lang: String, remoteLoc: String): DeBertaForTokenClassification

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedDeBertaForTokenModel → HasPretrained
  10. def pretrained(name: String, lang: String): DeBertaForTokenClassification
    Definition Classes
    ReadablePretrainedDeBertaForTokenModel → HasPretrained
  11. def pretrained(name: String): DeBertaForTokenClassification
    Definition Classes
    ReadablePretrainedDeBertaForTokenModel → HasPretrained
  12. def pretrained(): DeBertaForTokenClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedDeBertaForTokenModel → HasPretrained
  13. def read: MLReader[DeBertaForTokenClassification]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  14. def readModel(instance: DeBertaForTokenClassification, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadDeBertaForTokenDLModel
  15. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper
    Definition Classes
    ReadOnnxModel
  16. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  17. def readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
    Definition Classes
    ReadOpenvinoModel
  18. def readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
    Definition Classes
    ReadOpenvinoModel
  19. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  20. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  21. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  22. 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
    Definition Classes
    ReadTensorflowModel
  23. 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
    Definition Classes
    ReadTensorflowModel
  24. val sppFile: String
    Definition Classes
    ReadDeBertaForTokenDLModel → ReadSentencePieceModel
  25. val tfFile: String
    Definition Classes
    ReadDeBertaForTokenDLModel → ReadTensorflowModel