I have my custom spacy model uses custom word vectors.
The word vectors work fine in the spacy model:
nlp = spacy.load('test_model') nlp.vocab.length 467868 nlp.vocab.vectors_length 300 nlp.vocab.has_vector('وحش') True
Loading the same model with prodigy:
pgy terms.teach dataset test_model -s "وحش" Initialising with 1 seed terms: وحش ✨ Starting the web server at http://localhost:8080 ... Open the app in your browser and start annotating!
All looks fine, no errors, but I don’t get any terms to annotate, it just hangs with a …Loading message on the webpage.
Any insight or further checks I can do would be greatly appreciated.
All data is in Arabic, but that doesn’t seem to be an issue with other parts of prodigy!
Spacy version: 2.0.18
Prodigy version: 1.6.1