object T5Transformer extends ReadablePretrainedT5TransformerModel with ReadT5TransformerDLModel with ReadSentencePieceModel with Serializable
This is the companion object of T5Transformer. Please refer to that class for the documentation.
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- T5Transformer
- Serializable
- ReadT5TransformerDLModel
- ReadOpenvinoModel
- ReadOnnxModel
- ReadSentencePieceModel
- ReadTensorflowModel
- ReadablePretrainedT5TransformerModel
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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- final def ##: Int
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- final def ==(arg0: Any): Boolean
- Definition Classes
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- def addReader(reader: (T5Transformer, String, SparkSession) => Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
- final def asInstanceOf[T0]: T0
- Definition Classes
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- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
- val defaultLang: String
- Definition Classes
- HasPretrained
- lazy val defaultLoc: String
- Definition Classes
- HasPretrained
- val defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
- Definition Classes
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- Annotations
- @HotSpotIntrinsicCandidate() @native()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def load(path: String): T5Transformer
- Definition Classes
- MLReadable
- Annotations
- @Since("1.6.0")
- def loadSavedModel(modelPath: String, spark: SparkSession): T5Transformer
- Definition Classes
- ReadT5TransformerDLModel
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def onRead(instance: T5Transformer, path: String, session: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
- val onnxDecoderFile: String
- Definition Classes
- ReadT5TransformerDLModel
- val onnxEncoderFile: String
- Definition Classes
- ReadT5TransformerDLModel
- val onnxFile: String
- Definition Classes
- ReadT5TransformerDLModel → ReadOnnxModel
- val openvinoFile: String
- Definition Classes
- ReadT5TransformerDLModel → ReadOpenvinoModel
- val ovDecoderFile: String
- Definition Classes
- ReadT5TransformerDLModel
- val ovDecoderWithPastFile: String
- Definition Classes
- ReadT5TransformerDLModel
- val ovEncoderFile: String
- Definition Classes
- ReadT5TransformerDLModel
- def pretrained(name: String, lang: String, remoteLoc: String): T5Transformer
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
- def pretrained(name: String, lang: String): T5Transformer
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
- def pretrained(name: String): T5Transformer
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
- def pretrained(): T5Transformer
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
- def read: MLReader[T5Transformer]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
- def readModel(instance: T5Transformer, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadT5TransformerDLModel
- 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
- 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
- def readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
- Definition Classes
- ReadOpenvinoModel
- def readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
- Definition Classes
- ReadOpenvinoModel
- def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
- Definition Classes
- ReadSentencePieceModel
- def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
- def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
- 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
- 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
- val readers: ArrayBuffer[(T5Transformer, String, SparkSession) => Unit]
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
- val sppFile: String
- Definition Classes
- ReadT5TransformerDLModel → ReadSentencePieceModel
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- val tfFile: String
- Definition Classes
- ReadT5TransformerDLModel → ReadTensorflowModel
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- final def wait(arg0: Long): Unit
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)