Update README.md

README.md

@@ -57,8 +57,8 @@ Easiest use with `transformers` and `pipeline`:
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 
-model = AutoModelForSequenceClassification.from_pretrained('RJuro/danish-bert-go-aemotion')
-tokenizer = AutoTokenizer.from_pretrained('RJuro/danish-bert-go-aemotion')
+model = AutoModelForSequenceClassification.from_pretrained('RJuro/Da-HyggeBERT')
+tokenizer = AutoTokenizer.from_pretrained('RJuro/Da-HyggeBERT')
 
 classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
@@ -72,7 +72,7 @@ classifier('jeg elsker dig')
 ```python
 from simpletransformers.classification import MultiLabelClassificationModel
 
-model = MultiLabelClassificationModel('bert', 'RJuro/danish-bert-go-aemotion')
+model = MultiLabelClassificationModel('bert', 'RJuro/Da-HyggeBERT')
 
 predictions, raw_outputs = model.predict(df['text'])
 ```