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c

com.johnsnowlabs.ml.ai.t5

T5EncoderDecoder

abstract class T5EncoderDecoder extends AnyRef

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OnnxT5EncoderDecoder
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Instance Constructors

  1. new T5EncoderDecoder(spp: SentencePieceWrapper, additionalTokens: Map[Int, String] = Map())

Type Members

  1. class DecoderProcessor extends AnyRef

Abstract Value Members

  1. abstract def tag(batch: Seq[Array[Int]], maxNewTokens: Int, maxTextLength: Int, doSample: Boolean, topK: Int, topP: Double, temperature: Double, noRepeatNgramSize: Int, repetitionPenalty: Double, randomSeed: Option[Long], ignoreTokenIds: Array[Int] = Array(), stopAtEos: Boolean): Array[Array[Int]]
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    protected

Concrete 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. val additionalTokens: Map[Int, String]
  5. final def asInstanceOf[T0]: T0
    Definition Classes
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  6. def calcBannedNgramTokens(prevInputIds: Seq[Array[Int]], numHypos: Int, noRepeatNgramSize: Int, curLen: Int): Array[Array[Int]]
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    protected
  7. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  8. def decode(sentences: Array[Array[Int]]): Seq[String]
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    protected
  9. def encode(sentences: Seq[Annotation], task: String): Seq[Array[Int]]
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    protected
  10. def encodeS(sentences: Seq[String], task: String): Seq[Array[Int]]
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    protected
  11. val eosTokenId: Int
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  12. final def eq(arg0: AnyRef): Boolean
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  13. def equals(arg0: Any): Boolean
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  14. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  15. def generate(prompts: Seq[Annotation], batchSize: Int, maxNewTokens: Int, maxContextLength: Int, doSample: Boolean, topK: Int, topP: Double, temperature: Double, randomSeed: Option[Long], ignoreTokenIds: Array[Int], isCaseSensitive: Boolean, stopAtEos: Boolean, noRepeatNgramSize: Int, repetitionPenalty: Double): Seq[Annotation]
  16. final def getClass(): Class[_]
    Definition Classes
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    @native()
  17. def getGeneratedNgrams(prevInputIds: Seq[Array[Int]], generatedNgrams: Array[Map[IndexedSeq[Int], List[Int]]], hypoIdx: Int, curLen: Int, noRepeatNgramSize: Int): Array[Int]
    Attributes
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  18. def hashCode(): Int
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    @native()
  19. final def isInstanceOf[T0]: Boolean
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  20. final def ne(arg0: AnyRef): Boolean
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  21. final def notify(): Unit
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  22. final def notifyAll(): Unit
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    @native()
  23. val paddingTokenId: Int
    Attributes
    protected
  24. val pieceSize: Int
    Attributes
    protected
  25. def predict(sentences: Seq[Annotation], task: String, batchSize: Int, maxNewTokens: Int, maxTextLength: Int, doSample: Boolean, topK: Int, topP: Double, temperature: Double, randomSeed: Option[Long] = None, ignoreTokenIds: Array[Int] = Array(), isCaseSensitive: Boolean, stopAtEos: Boolean, noRepeatNgramSize: Int, repetitionPenalty: Double): Seq[Annotation]
  26. def sessionWarmup(): Unit
  27. def setTensorByIndicesToValue(prevInputIds: Array[Float], indices: IndexedSeq[Boolean], value: Float): Array[Float]
    Attributes
    protected
  28. val spp: SentencePieceWrapper
  29. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  30. def toString(): String
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  31. val vocabSize: Int
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  32. final def wait(): Unit
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    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  34. final def wait(arg0: Long): Unit
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