Following the ‘First steps’, I created the model, and created the spacy package from it, then install the model and linked to custom name.
However, when trying to load with spacy.load(), or use it as a basis for ner.make-gold, I receive following error message (it depends on the language model used for training):
OSError: [E050] Can’t find model ‘en_core_web_lg.vectors’. It doesn’t seem to be a shortcut link, a Python package or a valid path to a data directory.
However, after loading the language model (in this case, the ‘en_core_web_lg’) before using my custom model, everything goes fine.
I am wondering if there is a way to create the spacy package model to use it without need to load the language model first.
Hi! Could you share the
meta.json of your custom model package? And which version of spaCy are you on? (You can find out by running the
python -m spacy info command.)