Safetensors
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qwen2
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Update README.md

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@@ -31,8 +31,8 @@ import torch
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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- model = AutoModelForCausalLM.from_pretrained('nvidia/DLER-R1-7B').to(device)
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- tokenizer = AutoTokenizer.from_pretrained('nvidia/DLER-R1-7B')
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  messages = [
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  {"role": "user", "content": "Convert the point $(0,3)$ in rectangular coordinates to polar coordinates. Enter your answer in the form $(r,\\theta),$ where $r > 0$ and $0 \\le \\theta < 2 \\pi.$"+" Let's think step by step and output the final answer within \\boxed{}."},
 
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ model = AutoModelForCausalLM.from_pretrained('nvidia/DLER-R1-7B-Research').to(device)
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+ tokenizer = AutoTokenizer.from_pretrained('nvidia/DLER-R1-7B-Research')
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  messages = [
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  {"role": "user", "content": "Convert the point $(0,3)$ in rectangular coordinates to polar coordinates. Enter your answer in the form $(r,\\theta),$ where $r > 0$ and $0 \\le \\theta < 2 \\pi.$"+" Let's think step by step and output the final answer within \\boxed{}."},