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@@ -282,7 +282,7 @@ classifier = pipeline("zero-shot-classification",model="sileod/deberta-v3-base-t
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  text = "one day I will see the world"
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  candidate_labels = ['travel', 'cooking', 'dancing']
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- classifier(sequence_to_classify, candidate_labels)
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  ```
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  NLI training data of this model includes [label-nli](https://huggingface.co/datasets/tasksource/zero-shot-label-nli), a NLI dataset specially constructed to improve this kind of zero-shot classification.
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  text = "one day I will see the world"
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  candidate_labels = ['travel', 'cooking', 'dancing']
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+ classifier(text, candidate_labels)
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  ```
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  NLI training data of this model includes [label-nli](https://huggingface.co/datasets/tasksource/zero-shot-label-nli), a NLI dataset specially constructed to improve this kind of zero-shot classification.
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