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Update README.md

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  # Model Card for LLM-Prompt-Injection-Detection
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  ## Model Description
@@ -35,10 +44,4 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
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  text = "Example CV text or potential prompt injection content"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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- prediction = outputs.logits.argmax(-1)
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-
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-
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- ---
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- license: apache-2.0
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- library_name: transformers
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- ---
 
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+ ---
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+ license: apache-2.0
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+ library_name: transformers
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+ language:
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+ - en
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+ tags:
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+ - promptinjection
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+ ---
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+
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  # Model Card for LLM-Prompt-Injection-Detection
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  ## Model Description
 
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  text = "Example CV text or potential prompt injection content"
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  inputs = tokenizer(text, return_tensors="pt")
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  outputs = model(**inputs)
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+ prediction = outputs.logits.argmax(-1)