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README.md
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- **Training date:** July 2025
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- **License:** CC BY 4.0
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### Citation
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```json
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- **Training date:** July 2025
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- **License:** CC BY 4.0
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "sixf0ur/ScentLLaMA"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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prompt = "A fresh and fruity aroma with hints of"
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inputs = tokenizer(prompt, return_token_type_ids=False, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=25)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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# > A fresh and fruity aroma with hints of green leaves and a hint of something earthy. It is a ripe plum.
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```
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### Citation
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```json
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