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  Twitter emotion PL (base) is a model based on [herbert-base](https://huggingface.co/allegro/herbert-base-cased) for analyzing emotion of Polish twitter posts. It was trained on the translated version of [TweetEval](https://www.researchgate.net/publication/347233661_TweetEval_Unified_Benchmark_and_Comparative_Evaluation_for_Tweet_Classification) by Barbieri et al., 2020 for 10 epochs on single RTX3090 gpu.
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- The model will give you a three labels: positive, negative and neutral.
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  ## How to use
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  Twitter emotion PL (base) is a model based on [herbert-base](https://huggingface.co/allegro/herbert-base-cased) for analyzing emotion of Polish twitter posts. It was trained on the translated version of [TweetEval](https://www.researchgate.net/publication/347233661_TweetEval_Unified_Benchmark_and_Comparative_Evaluation_for_Tweet_Classification) by Barbieri et al., 2020 for 10 epochs on single RTX3090 gpu.
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+ The model will give you a four labels: joy, optimism, sadness and anger.
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  ## How to use
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