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Update README.md

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@@ -16,7 +16,7 @@ tokenizer = AutoTokenizer.from_pretrained("Kwaai/GPT2_NonToxic")
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  model = AutoModelForCausalLM.from_pretrained("Kwaai/GPT2_NonToxic")
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  # Example usage
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- input_text = "The movie was fantastic"
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  inputs = tokenizer(input_text, return_tensors='pt')
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  outputs = model.generate(**inputs)
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  model = AutoModelForCausalLM.from_pretrained("Kwaai/GPT2_NonToxic")
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  # Example usage
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+ input_text = "you are toxic!"
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  inputs = tokenizer(input_text, return_tensors='pt')
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  outputs = model.generate(**inputs)
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