Merge branch 'main' of https://huggingface.co/erst/xlm-roberta-base-finetuned-nace into main

README.md

@@ -1,10 +1,10 @@
-# Classifying Text into DB07 Codes
+# 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 were machine translated into the following languages:
+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
@@ -17,8 +17,8 @@ The data used to fine-tune the model consist of 2.5 million descriptions of acti
 ```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")
+tokenizer = AutoTokenizer.from_pretrained("erst/xlm-roberta-base-finetuned-nace")
+model = AutoModelForSequenceClassification.from_pretrained("erst/xlm-roberta-base-finetuned-nace")
 
 pl = pipeline(
     "sentiment-analysis",