Update README.md

README.md

@@ -4,7 +4,7 @@ This model is [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) fine-t
 
 
 ## 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",