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Update README.md

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  ---
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  license: mit
 
 
 
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  ---
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  ```python
@@ -23,4 +26,4 @@ model_output = model(**model_input, return_dict=False)
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  prediction = torch.argmax(model_output[0].cpu(), dim=-1)
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  prediction = [p.item() for p in prediction]
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  # prediction = [1, 0, 1, 0] # 1 for toxic, 0 for non-toxic
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- ```
 
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  ---
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  license: mit
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+ language:
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+ - en
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+ - zh
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  ---
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  ```python
 
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  prediction = torch.argmax(model_output[0].cpu(), dim=-1)
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  prediction = [p.item() for p in prediction]
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  # prediction = [1, 0, 1, 0] # 1 for toxic, 0 for non-toxic
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+ ```