cardiffnlp
/

twitter-roberta-base-topic-sentiment-latest

Text Classification

Inference Endpoints

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antypasd commited on Nov 14, 2023

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@@ -6,7 +6,7 @@ language:
 - en
 pipeline_tag: text-classification
 ---
-# cardiffnlp/twitter-roberta-base-latest-tweet-sentiment
 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).
 The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m).
@@ -29,7 +29,7 @@ text= 'If I make a game as a #windows10 Universal App. Will #xboxone owners be a
 target = "@microsoft"
 text_input = f"{text} </s> {target}"
-pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-latest-tweet-sentiment")
 pipe(text)
 >> [{'label': 'negative or neutral', 'score': 0.9601162672042847}]
 ```

 - en
 pipeline_tag: text-classification
 ---
+# cardiffnlp/twitter-roberta-base-topic-sentiment-latest
 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).
 The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m).
 target = "@microsoft"
 text_input = f"{text} </s> {target}"
+pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-base-topic-sentiment-latest")
 pipe(text)
 >> [{'label': 'negative or neutral', 'score': 0.9601162672042847}]
 ```