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Update README.md

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@@ -63,16 +63,15 @@ This model is fine-tuned for instruction-following in the domain of personal fin
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  Use the code below to get started with the model.
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  ```python
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- from huggingface_hub import login
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  from peft import PeftModel
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- login(token="")
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  tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen3-1.7B",)
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  base_model = AutoModelForCausalLM.from_pretrained(
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  "unsloth/Qwen3-1.7B",
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- device_map={"": 0}, token=""
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  )
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  model = PeftModel.from_pretrained(base_model,"khazarai/Personal-Finance-R1")
 
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  Use the code below to get started with the model.
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  ```python
 
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  from peft import PeftModel
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+
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  tokenizer = AutoTokenizer.from_pretrained("unsloth/Qwen3-1.7B",)
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  base_model = AutoModelForCausalLM.from_pretrained(
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  "unsloth/Qwen3-1.7B",
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+ device_map={"": 0}
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  )
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  model = PeftModel.from_pretrained(base_model,"khazarai/Personal-Finance-R1")