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Update README.md

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@@ -52,7 +52,7 @@ import torch
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  model = AutoModelForCausalLM.from_pretrained("caedencode/Caeden-o1")
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- tokenizer = AutoTokenizer.from_pretrained("caedencode/Caeden-o1")
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  model = model.to(device)
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  model = AutoModelForCausalLM.from_pretrained("caedencode/Caeden-o1")
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+ tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-1.5B")
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  model = model.to(device)