o
com.johnsnowlabs.nlp.annotators.classifier.dl
BertForZeroShotClassification
Companion class BertForZeroShotClassification
object BertForZeroShotClassification extends ReadablePretrainedBertForZeroShotModel with ReadBertForZeroShotDLModel with Serializable
This is the companion object of BertForZeroShotClassification. Please refer to that class for the documentation.
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- BertForZeroShotClassification
- Serializable
- ReadBertForZeroShotDLModel
- ReadOpenvinoModel
- ReadOnnxModel
- ReadTensorflowModel
- ReadablePretrainedBertForZeroShotModel
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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- def addReader(reader: (BertForZeroShotClassification, String, SparkSession) => Unit): Unit
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- ParamsAndFeaturesReadable
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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
- ReadablePretrainedBertForZeroShotModel → HasPretrained
- lazy val defaultLoc: String
- Definition Classes
- HasPretrained
- val defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedBertForZeroShotModel → HasPretrained
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- def load(path: String): BertForZeroShotClassification
- Definition Classes
- MLReadable
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- @Since("1.6.0")
- def loadSavedModel(modelPath: String, spark: SparkSession): BertForZeroShotClassification
- Definition Classes
- ReadBertForZeroShotDLModel
- final def ne(arg0: AnyRef): Boolean
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- def onRead(instance: BertForZeroShotClassification, path: String, session: SparkSession): Unit
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- ParamsAndFeaturesReadable
- val onnxFile: String
- Definition Classes
- ReadBertForZeroShotDLModel → ReadOnnxModel
- val openvinoFile: String
- Definition Classes
- ReadBertForZeroShotDLModel → ReadOpenvinoModel
- def pretrained(name: String, lang: String, remoteLoc: String): BertForZeroShotClassification
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedBertForZeroShotModel → HasPretrained
- def pretrained(name: String, lang: String): BertForZeroShotClassification
- Definition Classes
- ReadablePretrainedBertForZeroShotModel → HasPretrained
- def pretrained(name: String): BertForZeroShotClassification
- Definition Classes
- ReadablePretrainedBertForZeroShotModel → HasPretrained
- def pretrained(): BertForZeroShotClassification
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedBertForZeroShotModel → HasPretrained
- def read: MLReader[BertForZeroShotClassification]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
- def readModel(instance: BertForZeroShotClassification, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadBertForZeroShotDLModel
- 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 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[(BertForZeroShotClassification, String, SparkSession) => Unit]
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- protected
- Definition Classes
- ParamsAndFeaturesReadable
- final def synchronized[T0](arg0: => T0): T0
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- val tfFile: String
- Definition Classes
- ReadBertForZeroShotDLModel → ReadTensorflowModel
- def toString(): String
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- Deprecated
(Since version 9)