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@@ -15,8 +15,8 @@ Here is how to use the model:
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  ```python
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  from transformers import XLMRobertaTokenizer, XLMRobertaForSequenceClassification
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- model = XLMRobertaForSequenceClassification.from_pretrained("alexandrainst/da-xlmr-ned")
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- tokenizer = XLMRobertaTokenizer.from_pretrained("alexandrainst/da-xlmr-ned")
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  ```
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  The tokenizer takes 2 strings has input: the sentence and the knowledge graph (KG) context.
 
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  ```python
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  from transformers import XLMRobertaTokenizer, XLMRobertaForSequenceClassification
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+ model = XLMRobertaForSequenceClassification.from_pretrained("alexandrainst/da-ned-base")
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+ tokenizer = XLMRobertaTokenizer.from_pretrained("alexandrainst/da-ned-base")
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  ```
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  The tokenizer takes 2 strings has input: the sentence and the knowledge graph (KG) context.