| # Classifying Text into NACE Codes | |
| This model is [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) fine-tuned to classify descriptions of activities into [NACE Rev. 2](https://ec.europa.eu/eurostat/web/nace-rev2) codes. | |
| ## Data | |
| The data used to fine-tune the model consist of 2.5 million descriptions of activities from Norwegian and Danish businesses. To improve the model's multilingual performance, random samples of the Norwegian and Danish descriptions were machine translated into the following languages: | |
| - English | |
| - German | |
| - Spanish | |
| - French | |
| - Finnish | |
| - Polish | |
| ## Quick Start | |
| ```python | |
| from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("erst/xlm-roberta-base-finetuned-nace") | |
| model = AutoModelForSequenceClassification.from_pretrained("erst/xlm-roberta-base-finetuned-nace") | |
| pl = pipeline( | |
| "sentiment-analysis", | |
| model=model, | |
| tokenizer=tokenizer, | |
| return_all_scores=False, | |
| ) | |
| pl("The purpose of our company is to build houses") | |
| ``` | |