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Update README.md

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@@ -33,23 +33,20 @@ from transformers import pipeline
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  toxic_classifier = pipeline("text-classification", model="bgonzalezbustamante/bert-spanish-toxicity")
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  ## Non-toxic example
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- toxic_classifier("Que tengas un excelente día :)")
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- ```
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-
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- Output:
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-
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- ```
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- [{'label': 'NONTOXIC', 'score': 0.8723140358924866}]
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- ```
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- ```python
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  ## Toxic example
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- toxic_classifier("Eres un maldito infeliz")
 
 
 
 
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  ```
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  Output:
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  ```
 
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  [{'label': 'TOXIC', 'score': 0.9470418691635132}]
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  ```
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  toxic_classifier = pipeline("text-classification", model="bgonzalezbustamante/bert-spanish-toxicity")
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  ## Non-toxic example
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+ non_toxic = toxic_classifier("Que tengas un excelente día :)")
 
 
 
 
 
 
 
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  ## Toxic example
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+ toxic = toxic_classifier("Eres un maldito infeliz")
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+
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+ ## Print examples
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+ print(non_toxic)
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+ print(toxic)
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  ```
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  Output:
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  ```
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+ [{'label': 'NONTOXIC', 'score': 0.8723140358924866}]
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  [{'label': 'TOXIC', 'score': 0.9470418691635132}]
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  ```
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