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Update README.md

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@@ -28,5 +28,5 @@ You can use this model directly with a pipeline
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  >>> pipe = pipeline("text-classification", model="Isotonic/deberta-v3-base-market")
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  >>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
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  >>> pipe(text)
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-
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  ```
 
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  >>> pipe = pipeline("text-classification", model="Isotonic/deberta-v3-base-market")
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  >>> text = "identify candle: open: 21788.19, close: 21900, high: 21965.23, low: 21788.19"
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  >>> pipe(text)
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+ [{'label': 'Bullish', 'score': 0.9999979734420776}]
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  ```