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@@ -20,7 +20,7 @@ We slightly modified the Classification Head of the XLMRobertaModelForSequenceCl
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/xlm-roberta-large-56topics-context-2023a", trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
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  sentence = "These principles are under threat."
 
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/xlm-roberta-political-56topics-context-2023a", trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
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  sentence = "These principles are under threat."