I have tried the example on spaCy for WMD-relax, which loads 'en' model from spaCy, but I couldn't find another way to feed other embeddings.
In gensim, it seems that it only accepts
load_word2vec_format file (
load file (
As I know, someone has written a Bert to token embeddings based on pytorch, but it's not generalized to other models on tf-hub.
Is there any other approach to transfer pretrained models on tf-hub to spaCy format or word2vec format?