This is a NER-model trained using the spacy library in Python. It recognizes addresses (postal codes, cities, streets and housenumbers) and uses a separate spacy model to find connected entities. It is based on spacy's English transformer pipeline (roberta-base). You can use it as any other spacy model.
This model was created as part of the
Qanary-NER-automl-component's multi result branch. To include it in this component, refer to the
corresponding Readme chapter. There are images containing this, and other, models already available to download. A list can be found in
the final chapter of the Readme.
