trait ReadablePretrainedT5TransformerModel extends ParamsAndFeaturesReadable[T5Transformer] with HasPretrained[T5Transformer]
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- HasPretrained
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!=(arg0: Any): Boolean
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final
def
##(): Int
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def
==(arg0: Any): Boolean
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def
addReader(reader: (T5Transformer, String, SparkSession) ⇒ Unit): Unit
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final
def
asInstanceOf[T0]: T0
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val
defaultLang: String
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- HasPretrained
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lazy val
defaultLoc: String
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- HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
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final
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eq(arg0: AnyRef): Boolean
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hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): T5Transformer
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): T5Transformer
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
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def
pretrained(name: String, lang: String): T5Transformer
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
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def
pretrained(name: String): T5Transformer
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
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def
pretrained(): T5Transformer
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedT5TransformerModel → HasPretrained
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def
read: MLReader[T5Transformer]
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- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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final
def
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def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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