Using Fastext vector model in Prodigy?

[mhigginslp (Michael Higgins)]

Looking around some more I found:

@honnibal

If you’re using pre-trained vectors, take care not to use the md or lg spaCy data packs. These models use the pre-trained GloVe vectors as features. If you use your own pre-trained vectors, the activations will be different for what the model expects, and you’ll get terrible results. The sm model doesn’t use pre-trained vectors, to make it easy to swap in your own.

In this thread: loading gensim word vecs

I ended up loading en_core_web_sm, instead of the blank english model, loading the vectors using script provided above and saving using nlp.to_disk(model-path)

Once I trained a model using this base it was necessary to go into the ner/tagger/parser folder and change the cfg file so that pretrained_dims:0

From https://github.com/explosion/spaCy/issues/1727