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@@ -18,7 +18,7 @@ datasets: "fhamborg/news_sentiment_newsmtsc"
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  # NewsSentiment: easy-to-use, high-quality target-dependent sentiment classification for news articles
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- ## Important: use our PyPI package!
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  The Huggingface Hub architecture currently [does not support](https://github.com/huggingface/transformers/issues/14785) target-dependent sentiment classification since one cannot provide the required inputs, i.e., sentence and target. Thus, we recommend that you use our easy-to-use [PyPI package NewsSentiment](https://pypi.org/project/NewsSentiment/).
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  This model is the currently [best performing](https://aclanthology.org/2021.eacl-main.142.pdf)
 
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  # NewsSentiment: easy-to-use, high-quality target-dependent sentiment classification for news articles
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+ ## Important: [use our PyPI package!](https://pypi.org/project/NewsSentiment/)
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  The Huggingface Hub architecture currently [does not support](https://github.com/huggingface/transformers/issues/14785) target-dependent sentiment classification since one cannot provide the required inputs, i.e., sentence and target. Thus, we recommend that you use our easy-to-use [PyPI package NewsSentiment](https://pypi.org/project/NewsSentiment/).
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  This model is the currently [best performing](https://aclanthology.org/2021.eacl-main.142.pdf)