trait ReadablePretrainedXlmRoBertaForSequenceModel extends ParamsAndFeaturesReadable[XlmRoBertaForSequenceClassification] with HasPretrained[XlmRoBertaForSequenceClassification]
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def
addReader(reader: (XlmRoBertaForSequenceClassification, String, SparkSession) ⇒ Unit): Unit
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val
defaultLang: String
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lazy val
defaultLoc: String
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedXlmRoBertaForSequenceModel → HasPretrained
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isInstanceOf[T0]: Boolean
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def
load(path: String): XlmRoBertaForSequenceClassification
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notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): XlmRoBertaForSequenceClassification
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedXlmRoBertaForSequenceModel → HasPretrained
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def
pretrained(name: String, lang: String): XlmRoBertaForSequenceClassification
- Definition Classes
- ReadablePretrainedXlmRoBertaForSequenceModel → HasPretrained
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def
pretrained(name: String): XlmRoBertaForSequenceClassification
- Definition Classes
- ReadablePretrainedXlmRoBertaForSequenceModel → HasPretrained
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def
pretrained(): XlmRoBertaForSequenceClassification
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedXlmRoBertaForSequenceModel → HasPretrained
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def
read: MLReader[XlmRoBertaForSequenceClassification]
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