Using Fastext vector model in Prodigy?

Yes! All you have to do is add the vectors to spaCy, save out the model and load it with Prodigy. We actually have an end-to-end example script for adding fastText vectors to spaCy: see this page for the code and more details. Here’s the script:

After adding the vectors, you can simply call nlp.to_disk('/path/to/model'), which saves the full model including the vectors to a directory. You can then load it into Prodigy using that path – for example:

prodigy terms.teach fruits_dataset /path/to/model --seeds apple,pear,banana