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manifestoberta-xlm-roberta-56policy-topics-context-2023-1-1

Text Classification
Transformers
PyTorch
xlm-roberta
custom_code
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@@ -31,7 +31,7 @@ To correctly load the full model, include the `trust_remote_code=True` argument
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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."
 
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("manifesto-project/manifestoberta-xlm-roberta-56policy-topics-context-2023-1", 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."