enspire_v1
์ด ๋ชจ๋ธ์ Qwen/Qwen2.5-7B-Instruct์ ๊ธฐ๋ฐ์ผ๋ก ํ์ธํ๋๋ ํ๊ตญ์ด ํนํ ๋ชจ๋ธ์ ๋๋ค.
์ฌ์ฉ ๋ฐฉ๋ฒ
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("enspire_v1")
model = AutoModelForCausalLM.from_pretrained("enspire_v1")
# ํ
์คํธ ์์ฑ
input_text = "์๋
ํ์ธ์"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
ํ๋ จ ์ ๋ณด
- ๋ฒ ์ด์ค ๋ชจ๋ธ: Qwen/Qwen2.5-7B-Instruct
- ํ์ธํ๋ ๋ฐ์ดํฐ: [๋ฐ์ดํฐ์ ์ ๋ณด ์ถ๊ฐ]
- ํ๋ จ ํ๊ฒฝ: [ํ๊ฒฝ ์ ๋ณด ์ถ๊ฐ]
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