Update README.md

README.md

@@ -13,7 +13,7 @@ The BERT HateSpeech model classifies offensive Danish text into 4 categories:
  * `Personangreb` (personal attack) 
  * `Sprogbrug` (offensive language)
  * `Spam & indhold` (spam)
-This model is intended to be used after the [BERT HateSpeech detection model](https://huggingface.co/DaNLP/da-bert-hatespeech-detection).
+This model is intended to be used after the [BERT HateSpeech detection model](https://huggingface.co/alexandrainst/da-bert-hatespeech-detection).
 
 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. 
 
@@ -25,8 +25,8 @@ Here is how to use the model:
 ```python
 from transformers import BertTokenizer, BertForSequenceClassification
 
-model = BertForSequenceClassification.from_pretrained("DaNLP/da-bert-hatespeech-classification")
-tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-hatespeech-classification")
+model = BertForSequenceClassification.from_pretrained("alexandrainst/da-bert-hatespeech-classification")
+tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-bert-hatespeech-classification")
 ```
 
 ## Training data