Safetensors
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gemma
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Update README.md

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@@ -56,7 +56,7 @@ message = [
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  message_template = tokenizer.apply_chat_template(message, tokenize=False)
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  # it will look like this: "<bos><start_of_turn>user\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?<end_of_turn>\n<start_of_turn>model\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?<end_of_turn>\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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  with torch.no_grad():
 
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  message_template = tokenizer.apply_chat_template(message, tokenize=False)
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  # it will look like this: "<bos><start_of_turn>user\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?<end_of_turn>\n<start_of_turn>model\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?<end_of_turn>\n".
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+ kwargs = {"padding": 'longest', "truncation": True, "return_tensors": "pt"}
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  tokens = tokenizer.encode_plus(message_template, **kwargs)
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  with torch.no_grad():