object DocumentTranslator extends ReadablePretrainedDocumentTranslator with ReadDocumentTranslatorModel with Serializable
This is the companion object of DocumentTranslator. Please refer to that class for the documentation.
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
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==(arg0: Any): Boolean
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def
addReader(reader: (DocumentTranslator, String, SparkSession) ⇒ Unit): Unit
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final
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asInstanceOf[T0]: T0
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val
defaultLang: String
- Definition Classes
- ReadablePretrainedDocumentTranslator
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val
defaultModelName: String
- Definition Classes
- ReadablePretrainedDocumentTranslator
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final
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eq(arg0: AnyRef): Boolean
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def
fromAutoGGUF(autoGGUF: AutoGGUFModel): DocumentTranslator
Wraps a downloaded AutoGGUFModel's GGUF model in a DocumentTranslator.
Wraps a downloaded AutoGGUFModel's GGUF model in a DocumentTranslator. Public so the Python API can reuse an already-loaded AutoGGUFModel and wrap it on the JVM side.
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- ReadablePretrainedDocumentTranslator
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final
def
getClass(): Class[_]
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hashCode(): Int
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final
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isInstanceOf[T0]: Boolean
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def
load(path: String): DocumentTranslator
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def
loadSavedModel(modelPath: String, spark: SparkSession): DocumentTranslator
- Definition Classes
- ReadDocumentTranslatorModel
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notify(): Unit
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final
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notifyAll(): Unit
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def
onRead(instance: DocumentTranslator, path: String, session: SparkSession): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): DocumentTranslator
- Definition Classes
- ReadablePretrainedDocumentTranslator
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def
pretrained(name: String, lang: String): DocumentTranslator
- Definition Classes
- ReadablePretrainedDocumentTranslator
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def
pretrained(name: String): DocumentTranslator
- Definition Classes
- ReadablePretrainedDocumentTranslator
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def
pretrained(): DocumentTranslator
- Definition Classes
- ReadablePretrainedDocumentTranslator
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def
read: MLReader[DocumentTranslator]
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val
readers: ArrayBuffer[(DocumentTranslator, String, SparkSession) ⇒ Unit]
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