readme: # 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")
  ```
  