object LoadExternalModel
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- LoadExternalModel
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- @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
- def detectEngine(modelPath: String, isEncoderDecoder: Boolean = false, withPast: Boolean = false, isDecoder: Boolean = false, custom: Option[List[String]] = None): String
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- def generateRandomString(n: Int): String
Generates a random alphanumeric string of a given length.
Generates a random alphanumeric string of a given length.
- n
the length of the generated string
- returns
a random alphanumeric string of length n
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- def isOnnxModel(modelPath: String, isEncoderDecoder: Boolean = false, withPast: Boolean = false, isDecoder: Boolean = false): Boolean
- def isOpenvinoModel(modelPath: String, isEncoderDecoder: Boolean, custom: Option[List[String]] = None): Boolean
- def isTensorFlowModel(modelPath: String): Boolean
- def loadJsonStringAsset(assetPath: String, assetName: String): String
- assetPath
path to root of assets directory
- assetName
asset's name
- returns
JSON as String to be parsed later
- def loadSentencePieceAsset(assetPath: String, assetName: String): SentencePieceWrapper
- assetPath
path to root of assets directory
- assetName
asset's name
- returns
SentencePieceWrapper
- def loadTextAsset(assetPath: String, assetName: String): Array[String]
- def modelSanityCheck(path: String, isEncoderDecoder: Boolean = false, withPast: Boolean = false, isDecoder: Boolean = false, custom: Option[List[String]] = None): (String, String)
Retrieves a local path for a model folder and detects DL engine
Retrieves a local path for a model folder and detects DL engine
If the model is at a remote location it will be downloaded and a local path provided. Otherwise an URL to the local path of the folder will be returned. This method also tests the sanity of the DL model while detecting the DL engine
- path
Local or Remote path of the model folder
- returns
URL to the local path of the folder
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- val notSupportedEngineError: String
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- Deprecated
(Since version 9)