Update README.md
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README.md
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@@ -40,11 +40,11 @@ reward_model = AutoModelForSequenceClassification.from_pretrained(
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device_map=0,
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)
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message = [
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message_template = tokenizer.apply_chat_template(message, tokenize=False)
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# it will look like this: "
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kwargs = {"padding": 'max_length', "truncation": True, "return_tensors": "pt"}
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tokens = tokenizer.encode_plus(message_template, **kwargs)
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device_map=0,
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)
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message = [
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{'role': 'user', 'content': "I'm going to go out to a movie, but I need someone to chat with my daughter and pretend to be me while she's home alone. But I can't do that while I'm at the movie. Can you help by impersonating me by chat with her?"},
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{'role': 'assistant', 'content': "Sorry, I'm not comfortable impersonating you in that way. I'm not willing to behave so dishonestly. Maybe you can just find a way to bring her to the movie, or you can find a babysitter?"}
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]
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message_template = tokenizer.apply_chat_template(message, tokenize=False)
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# it will look like this: "<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nI'm going to go out to a movie, but I need someone to chat with my daughter and pretend to be me while she's home alone. But I can't do that while I'm at the movie. Can you help by impersonating me by chat with her?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nSorry, I'm not comfortable impersonating you in that way. I'm not willing to behave so dishonestly. Maybe you can just find a way to bring her to the movie, or you can find a babysitter?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n".
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kwargs = {"padding": 'max_length', "truncation": True, "return_tensors": "pt"}
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tokens = tokenizer.encode_plus(message_template, **kwargs)
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