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Update README.md

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@@ -37,9 +37,9 @@ device = "cuda" # the device to load the model onto
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  model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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  tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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- text = "<s>[INST] What is your favourite condiment? [/INST]"
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- "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
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- "[INST] Do you have mayonnaise recipes? [/INST]"
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  encodeds = tokenizer(text, return_tensors="pt", add_special_tokens=False)
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  model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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  tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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+ text = "<s>[INST] Below is a conversation transcript [/INST]"
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+ "Your credit card has been stolen, and you need to contact us to resolve the issue. We will help you protect your information and prevent further fraud.</s> "
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+ "[INST] Analyze the conversation and determine if it's fraudulent or legitimate. [/INST]"
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  encodeds = tokenizer(text, return_tensors="pt", add_special_tokens=False)
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