com.johnsnowlabs.ml.tensorflow
Bert Model wrapper with TensorFlow Wrapper
Id of sentence start Token
Id of sentence end Token.
Configuration for TensorFlow session Paper: https://arxiv.org/abs/1810.04805 Source: https://github.com/google-research/bert
Encode the input sequence to indexes IDs adding padding where necessary
Bert Model wrapper with TensorFlow Wrapper
BERT (Bidirectional Encoder Representations from Transformers) provides dense vector representations for natural language by using a deep, pre-trained neural network with the Transformer architecture
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/embeddings/BertEmbeddingsTestSpec.scala for further reference on how to use this API. Sources: