cardiffnlp
/

twitter-roberta-base-emotion-multilabel-latest

Text Classification

generated_from_keras_callback

Inference Endpoints

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antypasd commited on Mar 27, 2023

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88ff635

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1 Parent(s): 9dc1d00

Update README.md

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@@ -54,7 +54,7 @@ from transformers import pipeline
 pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-emotion-multilabel-latest", return_all_scores=True)
-pipe("I am so happy and sad at the same time")
 >> [[{'label': 'anger', 'score': 0.018903767690062523},
   {'label': 'anticipation', 'score': 0.28172484040260315},

 pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-emotion-multilabel-latest", return_all_scores=True)
+pipe("I bet everything will work out in the end :)")
 >> [[{'label': 'anger', 'score': 0.018903767690062523},
   {'label': 'anticipation', 'score': 0.28172484040260315},