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cardiffnlp
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tweet-topic-19-multi

Text Classification
Transformers
PyTorch
TensorFlow
roberta
Inference Endpoints
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antypasd commited on
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Update README.md

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@@ -42,7 +42,7 @@ scores = expit(scores)
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  predictions = (scores >= 0.5) * 1
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  # TF
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- #tf_model = TFAutoModelForSequenceClassification.from_pretrained('antypasd/tweet-topic-19-multi')
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  #class_mapping = model.config.id2label
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  #text = "It is great to see athletes promoting awareness for climate change."
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  #tokens = tokenizer(text, return_tensors='tf')
 
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  predictions = (scores >= 0.5) * 1
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  # TF
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+ #tf_model = TFAutoModelForSequenceClassification.from_pretrained(MODEL)
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  #class_mapping = model.config.id2label
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  #text = "It is great to see athletes promoting awareness for climate change."
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  #tokens = tokenizer(text, return_tensors='tf')