Closed franklydog closed 3 years ago
Hi, Since we are still on TensorFlow 1.15.x in Java, the process of doing that at the moment is long and outside of the scope of Spark NLP. In future releases, we'll see if we can make it easier once we are migrated to TensorFlow 2.x.
That's being said, we already have those multi-lingual models available: https://nlp.johnsnowlabs.com/2020/12/08/tfhub_use_multi_lg_xx.html
I get google's USE pretrained latest data in https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3. So I want to use it in class of UniversalSentenceEncoder.As far as I know, Spark NLP also use Tensorflow-hub version of USE that is wrapped in a way. Could you tell me what is the "Way"? Thank you for any help you can offer.