| ์ถ๋ก ์ lm-eval-harness ์ ARC ๊ธฐ๋ณธ prompt ํ์ ์ฌ์ฉ (Question: {q}\nAnswer: {a}) |
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| [์ถ๋ก ์์] |
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| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model_id = "torchtorchkimtorch/up_model" |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained(model_id) |
| |
| prompt = "Question: What do cells break down to produce energy?\nAnswer:" |
| inputs = tokenizer(prompt, return_tensors="pt") |
| outputs = model.generate(**inputs, max_new_tokens=512, do_sample=False) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| ``` |