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Update README.md

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@@ -61,7 +61,7 @@ for result in results:
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  print(result["label"], "=>", result["score"])
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  ```
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- If you want to use it for NLI type of tasks, we recommend representing your premise as a text and hypothesis as a label, you can put several hypotheses, but the model works be
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  ```python
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  # Initialize model and multi-label pipeline
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  text = "The cat slept on the windowsill all afternoon"
 
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  print(result["label"], "=>", result["score"])
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  ```
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+ If you want to use it for NLI type of tasks, we recommend representing your premise as a text and hypothesis as a label, you can put several hypotheses, but the model works best with a single input hypothesis.
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  ```python
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  # Initialize model and multi-label pipeline
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  text = "The cat slept on the windowsill all afternoon"