Update README.md

README.md

@@ -22,11 +22,10 @@ Here is how to use the model:
 ```python
 from transformers import BertTokenizer, BertForSequenceClassification
 
-model = BertForSequenceClassification.from_pretrained("DaNLP/da-bert-tone-subjective-objective")
-tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-tone-subjective-objective")
+model = BertForSequenceClassification.from_pretrained("alexandrainst/da-bert-tone-subjective-objective")
+tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-bert-tone-subjective-objective")
 ```
 
 ## Training data
 
-The data used for training come from the [Twitter Sentiment](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#twitsent) and [EuroParl sentiment 2](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#europarl-sentiment2) datasets.
-
+The data used for training come from the [Twitter Sentiment](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#twitsent) and [EuroParl sentiment 2](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#europarl-sentiment2) datasets.