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--- |
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language: |
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- ko |
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pipeline_tag: text-generation |
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--- |
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### Model Generation |
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``` |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("AidenU/Mistral-7b-ko-Y24-DPO_v0.1", device_map="auto") |
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tokenizer = AutoTokenizer.from_pretrained("AidenU/Mistral-7b-ko-Y24-DPO_v0.1") |
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messages = [ |
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{"role":"user", "content", "μλ
νμΈμ?"} |
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] |
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encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt") |
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inputs = encodeds.to("cuda") |
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model.to("cuda") |
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outputs = model.generated( |
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inputs, |
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max_new_tokens=256, |
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do_sample=True |
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) |
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decoded = tokenizer.batch_decode(outputs) |
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print(decoded[0]) |
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``` |