prototyping s-nlp roberta again

app.py

@@ -12,8 +12,8 @@ txt = st.text_area('Text to analyze', '''
     ''')
 
 # load tokenizer and model weights
-tokenizer = RobertaTokenizer.from_pretrained('SkolkovoInstitute/roberta_toxicity_classifier')
-model = RobertaForSequenceClassification.from_pretrained('SkolkovoInstitute/roberta_toxicity_classifier')
+tokenizer = AutoTokenizer.from_pretrained("s-nlp/roberta_toxicity_classifier")
+model = AutoModelForSequenceClassification.from_pretrained("s-nlp/roberta_toxicity_classifier")
 
 # prepare the input
 batch = tokenizer.encode('txt', return_tensors='pt')