Update README.md

README.md

@@ -35,9 +35,9 @@ By default, RobBERT-2022 has the masked language model head used in training. Th
 
 
 ```python
-from transformers import AutoTokenizer, AutoForSequenceClassification
-tokenizer = RobertaTokenizer.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
-model = RobertaForSequenceClassification.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
+model = AutoModelForSequenceClassification.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
 ```
 
 You can then use most of [HuggingFace's BERT-based notebooks](https://huggingface.co/transformers/v4.1.1/notebooks.html) for finetuning RobBERT-2022 on your type of Dutch language dataset.