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README.md
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pipeline_tag: text-classification
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---
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# cardiffnlp/twitter-roberta-base-
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This is a RoBERTa-base model trained on 154M tweets until the end of December 2022 and finetuned for sentiment analysis (target based) on the _TweetSentiment_ dataset of [SuperTweetEval](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
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The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m).
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target = "@microsoft"
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text_input = f"{text} </s> {target}"
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pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-
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pipe(text)
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>> [{'label': 'negative or neutral', 'score': 0.9601162672042847}]
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```
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pipeline_tag: text-classification
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---
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# cardiffnlp/twitter-roberta-base-topic-sentiment-latest
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This is a RoBERTa-base model trained on 154M tweets until the end of December 2022 and finetuned for sentiment analysis (target based) on the _TweetSentiment_ dataset of [SuperTweetEval](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
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The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m).
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target = "@microsoft"
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text_input = f"{text} </s> {target}"
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pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-topic-sentiment-latest")
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pipe(text)
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>> [{'label': 'negative or neutral', 'score': 0.9601162672042847}]
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```
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