erst/xlm-roberta-base-finetuned-nace

The model is xlm-roberta-base fine-tuned to classify descriptions of activities into NACE Rev. 2 codes . The data used to fine-tune the model consist of 2.5 million descriptions from Norwegian and Danish businesses . Random samples of the Norwegian and . Danish descriptions were machine translated into the following languages: English, German, French, Spanish, Danish, Finnish, Finnish, Finnian, Finnish and Danish . The model was designed to be able to be translated into English, Danish and French . It is based on the data used in the model to improve the multilingual performance of the model . It was designed for the purpose of building houses in Denmark,