class DeBerta extends Serializable
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Instance Constructors
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new
DeBerta(tensorflowWrapper: Option[TensorflowWrapper], onnxWrapper: Option[OnnxWrapper], spp: SentencePieceWrapper, batchSize: Int, configProtoBytes: Option[Array[Byte]] = None, signatures: Option[Map[String, String]] = None)
- tensorflowWrapper
DeBERTa Model wrapper with TensorFlowWrapper
- spp
DeBERTa SentencePiece model with SentencePieceWrapper
- batchSize
size of batch
- configProtoBytes
Configuration for TensorFlow session
Value Members
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final
def
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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- val _tfDeBertaSignatures: Map[String, String]
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final
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asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
notifyAll(): Unit
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- val onnxWrapper: Option[OnnxWrapper]
- def predict(tokenizedSentences: Seq[TokenizedSentence], batchSize: Int, maxSentenceLength: Int, caseSensitive: Boolean): Seq[WordpieceEmbeddingsSentence]
- val spp: SentencePieceWrapper
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- def tag(batch: Seq[Array[Int]]): Seq[Array[Array[Float]]]
- val tensorflowWrapper: Option[TensorflowWrapper]
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def
toString(): String
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- def tokenizeWithAlignment(sentences: Seq[TokenizedSentence], maxSeqLength: Int, caseSensitive: Boolean): Seq[WordpieceTokenizedSentence]
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