I am totally new to Prodigy
I used the spacy model "en_core_web_sm" to annotate a given text with no issue:
prodigy ner.teach ner_news en_core_web_sm ./news_headlines.jsonl --label PERSON,EVENT
However, I have a different type of text "biomedical" and I would like to use one of the scispacy model for annotation e.g., "en-ner-bc5cdr-md" for disease and chemical. I though scispacy models will be treated as spacy models in Prodigy?
I installed the "en-ner-bc5cdr-md-0.2.0" and I used:
prodigy ner.teach ner_disease en-ner-bc5cdr-md ./dis_source_text.jsonl --label DISEASE,CHEMICAL
I got this error: "Can't find model 'en-ner-bc5cdr-md'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory". However, the models works fine when I load it in the same environment in a python code.
nlp = spacy.load("en_ner_bc5cdr_md")
with pip list, the model is there as it is the case with "en_core_web_sm"
any ideas in how to solve the issue?