Hi, is there a way to export the default NER annotation format to a format that can work on BERT. I saw some other posts similar to mine but I wasn't sure if there is a newer feature that lets me convert formats. I'm trying to reuse the annotations I already have and use them to train a BERT model for NER.
Hi Yaamin,
have you seen this segment on our docs?
In particular, it shows that if you want to use BERT in spaCy you can just use the annotations as-is. To quote the page:
New in Prodigy v1.11 and spaCy v3
spaCy v3 lets you train a transformer-based pipeline and will take care of all tokenization alignment under the hood, to ensure that the subword tokens match to the linguistic tokenization. You can usedata-to-spacyto export your annotations and train with spaCy v3 and a transformer-based config directly, or run ``trainand provide the config via the--configargument.