| # Classifying Text into DB07 Codes | |
| This model is [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) fine-tuned to classify Danish descriptions of activities into [Dansk Branchekode DB07](https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/dansk-branchekode-db07) codes. | |
| ## Data | |
| Approximately 2.5 million business names and descriptions of activities from Norwegian and Danish businesses were used to fine-tune the model. The Norwegian descriptions were translated into Danish and the Norwegian SN 2007 codes were translated into Danish DB07 codes. | |
| Activity descriptions and business names were concatenated but separated by the separator token `</s>`. Thus, the model was trained on input texts in the format `f"{description_of_activity}</s>{business_name}"`. | |
| ## Quick Start | |
| ```python | |
| from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("erst/xlm-roberta-base-finetuned-db07") | |
| model = AutoModelForSequenceClassification.from_pretrained("erst/xlm-roberta-base-finetuned-db07") | |
| pl = pipeline( | |
| "sentiment-analysis", | |
| model=model, | |
| tokenizer=tokenizer, | |
| return_all_scores=False, | |
| ) | |
| pl("Vi sælger sko") | |
| pl("We sell clothes</s>Clothing ApS") | |
| ``` | |
| ## License | |
| This model is released under the MIT License. | |