object AutoGGUFVisionModel extends ReadablePretrainedAutoGGUFVisionModel with ReadAutoGGUFVisionModel with Serializable
This is the companion object of AutoGGUFVisionModel. Please refer to that class for the documentation.
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Inherited
- AutoGGUFVisionModel
- Serializable
- ReadAutoGGUFVisionModel
- ReadablePretrainedAutoGGUFVisionModel
- HasPretrained
- ParamsAndFeaturesFallbackReadable
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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- final def ##: Int
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- Definition Classes
- AnyRef → Any
- def addReader(reader: (AutoGGUFVisionModel, String, SparkSession) => Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
- final def asInstanceOf[T0]: T0
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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
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- lazy val defaultLoc: String
- Definition Classes
- HasPretrained
- val defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def fallbackLoad(folder: String, spark: SparkSession): AutoGGUFVisionModel
- Definition Classes
- ReadAutoGGUFVisionModel
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
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- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
- Definition Classes
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- def load(path: String): AutoGGUFVisionModel
- Definition Classes
- MLReadable
- Annotations
- @Since("1.6.0")
- def loadSavedModel(modelPath: String, mmprojPath: String, spark: SparkSession): AutoGGUFVisionModel
- Definition Classes
- ReadAutoGGUFVisionModel
- final def ne(arg0: AnyRef): Boolean
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- def onRead(instance: AutoGGUFVisionModel, path: String, session: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
- def pretrained(name: String, lang: String, remoteLoc: String): AutoGGUFVisionModel
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- def pretrained(name: String, lang: String): AutoGGUFVisionModel
- Definition Classes
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- def pretrained(name: String): AutoGGUFVisionModel
- Definition Classes
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- def pretrained(): AutoGGUFVisionModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedAutoGGUFVisionModel → HasPretrained
- def read: MLReader[AutoGGUFVisionModel]
- Definition Classes
- ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
- def readModel(instance: AutoGGUFVisionModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadAutoGGUFVisionModel
- val readers: ArrayBuffer[(AutoGGUFVisionModel, String, SparkSession) => Unit]
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- Definition Classes
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- final def synchronized[T0](arg0: => T0): T0
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- def finalize(): Unit
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- Deprecated
(Since version 9)