Update README.md

README.md

@@ -27,8 +27,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['Привет! Как твои дела?',
              'А правда, что 42 твое любимое число?']
 #Load AutoModel from huggingface model repository
-tokenizer = AutoTokenizer.from_pretrained("sberbank-ai/sbert_large_mt_nlu_ru")
-model = AutoModel.from_pretrained("sberbank-ai/sbert_large_mt_nlu_ru")
+tokenizer = AutoTokenizer.from_pretrained("ai-forever/sbert_large_mt_nlu_ru")
+model = AutoModel.from_pretrained("ai-forever/sbert_large_mt_nlu_ru")
 #Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, max_length=24, return_tensors='pt')
 #Compute token embeddings
@@ -40,5 +40,5 @@ sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask']
 
 # Authors
 + [SberDevices](https://sberdevices.ru/) Team.
-+ Aleksandr Abramov: [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko);
++ Aleksandr Abramov: [HF profile](https://huggingface.co/Andrilko), [Github](https://github.com/Ab1992ao), [Kaggle Competitions Master](https://www.kaggle.com/andrilko);
 + Denis Antykhov: [Github](https://github.com/gaphex);