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robbert-2022-dutch-base

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roberta
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RobBERT
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@@ -35,9 +35,9 @@ By default, RobBERT-2022 has the masked language model head used in training. Th
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  ```python
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- from transformers import AutoTokenizer, AutoForSequenceClassification
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- tokenizer = RobertaTokenizer.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
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- model = RobertaForSequenceClassification.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
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  ```
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  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.
 
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  ```python
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+ tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
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+ model = AutoModelForSequenceClassification.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base")
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  ```
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  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.