What is the model architecture used in spacy's token vectors (english)
The English vectors are GloVe Common Crawl vectors. Most other languages have custom fastText vectors from OSCAR Common Crawl + Wikipedia. These sources should be included in the model metadata, but it looks like the vector information has been accidentally left out in the 3.0.0 model releases.
I am most likely missing something obvious, but what approach/model was used to train the Token vectors in spacy's english medium model?  Was it word2vec?  A deep learning architecture?  Just curious on what was used to estimate those embeddings.