Update README.md

README.md

@@ -12,12 +12,12 @@ license: mit
 
 # bert-base-multilingual-uncased-sentiment
 
+Visit the [NLP Town website](https://www.nlp.town) for an updated version of this model, with a 40% error reduction on product reviews.
+
 This is a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the review as a number of stars (between 1 and 5).
 
 This model is intended for direct use as a sentiment analysis model for product reviews in any of the six languages above or for further finetuning on related sentiment analysis tasks.
 
-NLP Town also offers an newer model based on ModernBert, with a 40% error reduction on product reviews. Find all the details [on our website](https://www.nlp.town).
-
 ## Training data
 
 Here is the number of product reviews we used for finetuning the model: