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t

com.johnsnowlabs.nlp.embeddings

ReadInstructorDLModel

trait ReadInstructorDLModel extends ReadTensorflowModel with ReadSentencePieceModel with ReadOnnxModel

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  1. ReadInstructorDLModel
  2. ReadOnnxModel
  3. ReadSentencePieceModel
  4. ReadTensorflowModel
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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_]
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  10. def hashCode(): Int
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    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  12. def loadSavedModel(modelPath: String, spark: SparkSession): InstructorEmbeddings
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  14. final def notify(): Unit
    Definition Classes
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    @native()
  15. final def notifyAll(): Unit
    Definition Classes
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    @native()
  16. val onnxFile: String
    Definition Classes
    ReadInstructorDLModel → ReadOnnxModel
  17. def readModel(instance: InstructorEmbeddings, path: String, spark: SparkSession): Unit
  18. 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
  19. 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
  20. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  21. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  22. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  23. 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
  24. 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
  25. val sppFile: String
    Definition Classes
    ReadInstructorDLModel → ReadSentencePieceModel
  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  27. val tfFile: String
    Definition Classes
    ReadInstructorDLModel → ReadTensorflowModel
  28. def toString(): String
    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit
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    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  31. final def wait(arg0: Long): Unit
    Definition Classes
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Inherited from ReadOnnxModel

Inherited from ReadSentencePieceModel

Inherited from ReadTensorflowModel

Inherited from AnyRef

Inherited from Any

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