Update README.md

README.md

@@ -20,7 +20,7 @@ The BERT Emotion model classifies a Danish text in one of the following class:
 
 It is based on the pretrained [Danish BERT](https://github.com/certainlyio/nordic_bert) model by BotXO which has been fine-tuned on social media data. 
 
-This model should be used after detecting whether the text contains emotion or not, using the binary [BERT Emotion model](https://huggingface.co/alexandrainst/da-bert-emotion-binary).
+This model should be used after detecting whether the text contains emotion or not, using the binary [BERT Emotion model](https://huggingface.co/alexandrainst/da-binary-emotion-classification-base).
 
 See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/docs/tasks/sentiment_analysis.html#bert-emotion) for more details. 
 
@@ -29,8 +29,8 @@ Here is how to use the model:
 ```python
 from transformers import BertTokenizer, BertForSequenceClassification
 
-model = BertForSequenceClassification.from_pretrained("alexandrainst/da-bert-emotion-classification")
-tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-bert-emotion-classification")
+model = BertForSequenceClassification.from_pretrained("alexandrainst/da-emotion-classification-base")
+tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-emotion-classification-base")
 ```
 
 ## Training data