Update README.md

README.md

@@ -28,8 +28,8 @@ The metrics obtained from test dataset is as follows
 from transformers import BertTokenizer, BertForSequenceClassification
 
 # load tokenizer and model weights
-tokenizer = BertTokenizer.from_pretrained('SkolkovoInstitute/russian_toxicity_classifier')
-model = BertForSequenceClassification.from_pretrained('SkolkovoInstitute/russian_toxicity_classifier')
+tokenizer = BertTokenizer.from_pretrained('s-nlp/russian_toxicity_classifier')
+model = BertForSequenceClassification.from_pretrained('s-nlp/russian_toxicity_classifier')
 
 # prepare the input
 batch = tokenizer.encode('ты супер', return_tensors='pt')
@@ -38,6 +38,15 @@ batch = tokenizer.encode('ты супер', return_tensors='pt')
 model(batch)
 ```
 
+## Citation
+
+```
+@article{dementieva2022russe,
+  title={RUSSE-2022: Findings of the First Russian Detoxification Shared Task Based on Parallel Corpora},
+  author={Dementieva, Daryna and Logacheva, Varvara and Nikishina, Irina and Fenogenova, Alena and Dale, David and Krotova, Irina and Semenov, Nikita and Shavrina, Tatiana and Panchenko, Alexander}
+}
+```
+
 
 ## Licensing Information