Apologies if this is not the correct forum. I am trying to use Google’s Semantic sentence encoder to just get the embeddings (https://tfhub.dev/google/universal-sentence-encoder/2). I have tried downloading the module (as a tar.gz) and then converting to .zip for use in the Tensorflow Network Reader but it would not work as no “Tags” were found.
Naively, i would just want to go from sentence -> 512 vector so that i can compare sentences, without having to go down the rabbit whole of keras/tensorflow
Does anyone have any advice?