class TensorflowUSE extends Serializable

The Universal Sentence Encoder encodes text into high dimensional vectors that can be used for text classification, semantic similarity, clustering and other natural language tasks.

See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/embeddings/UniversalSentenceEncoderTestSpec.scala for further reference on how to use this API.

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Instance Constructors

  1. new TensorflowUSE(tensorflow: TensorflowWrapper, configProtoBytes: Option[Array[Byte]] = None, loadSP: Boolean = false)

    tensorflow

    USE Model wrapper with TensorFlow Wrapper

    configProtoBytes

    Configuration for TensorFlow session Sources : https://arxiv.org/abs/1803.11175 https://tfhub.dev/google/universal-sentence-encoder/2

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  15. def predict(sentences: Seq[Sentence], batchSize: Int): Seq[Annotation]
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  17. val tensorflow: TensorflowWrapper
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