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README.md

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+## Model description
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+An xlm-roberta-large model fine-tuned on the classification of all ~1,8 million annotated statements contained in the [manifesto corpus](https://manifesto-project.wzb.eu/information/documents/corpus) (version 2023a), each labelled with one of 56 different political categories. The context model variant additionally utilizes the surrounding sentences of a statement to improve its classification.
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+**Important**
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+We slightly modified the Classification Head of the XLMRobertaModelForSequenceClassification model (removed the tahn activation and the intermediate linear layer) as that improved the model performance for this task considerably. To correctly load the full model you have to provide the ```trust_remote_code=True``` argument in the from_pretrained loading call.
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