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**Note** The model is pretty good at identifying the primary issue of any text, but it'll refer to the author of the text as 'the party' and summarize the "position" of *the party* as such.
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**Countries included in Training Data** = ['Italy', 'Sweden', 'Switzerland', 'Netherlands', 'Germany', 'Denmark', 'Spain', 'UK', 'Austria', 'Poland', 'Ireland', 'France']
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**Note** The model is pretty good at identifying the primary issue of any text, but it'll refer to the author of the text as 'the party' and summarize the "position" of *the party* as such.
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**Countries included in Training Data** = ['Italy', 'Sweden', 'Switzerland', 'Netherlands', 'Germany', 'Denmark', 'Spain', 'UK', 'Austria', 'Poland', 'Ireland', 'France']
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Please cite if using:
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```
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@online{dickson2023,
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title = {{CAP Multilingual Classification Model}},
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url = {https://huggingface.co/z-dickson/CAP_multilingual},
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author = {Dickson, Zachary P},
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year = 2023,
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urldate = {2022-01-27},
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}
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```
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