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Update README.md

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@@ -59,7 +59,6 @@ model = AutoModelForCausalLM.from_pretrained(
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  device_map="auto",
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  )
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  model = PeftModel.from_pretrained(model, adapter_name)
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- ```
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  # Inference Example
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  messages = [
@@ -70,7 +69,9 @@ inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_p
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  # The model will output JSON immediately
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  outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.1)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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- Sources & Terms (IMPORTANT)
 
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  Training data: u-10bei/structured_data_with_cot_dataset_512_v2
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- Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License. Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.
 
 
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  device_map="auto",
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  )
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  model = PeftModel.from_pretrained(model, adapter_name)
 
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  # Inference Example
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  messages = [
 
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  # The model will output JSON immediately
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  outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.1)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+ ## Sources & Terms (IMPORTANT)
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  Training data: u-10bei/structured_data_with_cot_dataset_512_v2
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+ Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
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+ Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.