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--- |
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library_name: transformers |
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language: |
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- en |
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license: apache-2.0 |
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--- |
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## Pretrain-Recommandation |
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<p align="center"> |
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<img src="Pretrain-Recommandation.png" alt="client" width="400"/> |
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</p> |
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### example |
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``` |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "jaeyong2/Pretrain-Recommandation-Preview" |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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prompt = """ |
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You are a recommendation system AI. |
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You input a list of items and a persona from the user. |
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From the list, you recommend the item most appropriate for the persona, along with a reason why. |
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(If no suitable item is found, you don't recommend it.) |
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""".strip() |
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content =""" |
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Item list: [Men's all-in-one skincare set, Mineral sunscreen with UV protection, Deep moisturizing body oil, Retinol-based wrinkle cream] |
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persona :A woman in her late 20s with sensitive skin who works in an office. She prefers natural ingredients and spends a lot of time outdoors. |
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""".strip() |
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system = {"role":"system", "content":prompt} |
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user = {"role":"user", "content":content} |
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messages = [system, user] |
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text = tokenizer.apply_chat_template( |
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messages, |
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tokenize=False, |
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add_generation_prompt=True, |
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enable_thinking=False # Switches between thinking and non-thinking modes. Default is True. |
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) |
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device) |
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# conduct text completion |
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generated_ids = model.generate( |
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**model_inputs, |
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max_new_tokens=32768 |
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) |
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output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() |
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content = tokenizer.decode(output_ids, skip_special_tokens=True).strip("\n") |
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print(content) |
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``` |
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### result |
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``` |
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selected_item : Mineral sunscreen with UV protection |
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reason :Persona 2, a woman with sensitive skin and outdoor activities, would benefit from a mineral sunscreen with UV protection. It aligns with her preference for natural ingredients (mineral-based) and her need for protective UV rays, which are essential for outdoor workers. The product also matches Persona 1's likely focus on practical, non-toxic skincare products. |
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``` |
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## how to make dataset |
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<p align="center"> |
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<img src="data.png" alt="client" width="400"/> |
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</p> |
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## License |
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- Qwen/Qwen3-1.7B : https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE |
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## Acknowledgement |
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This research is supported by **TPU Research Cloud program**. |
