import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "EleutherAI/polyglot-ko-5.8b",
    low_cpu_mem_usage=True,
    trust_remote_code=True,
    device_map="auto",
)
model.config.use_cache = True
    
model.load_adapter("m2af/EleutherAI-polyglot-ko-5.8b-adapter", "loaded")
model.set_adapter("loaded")

tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = "right"

# Generate Sample
outputs = model.generate(**tokenizer("안녕하세요, 반갑습니다.", return_tensors="pt"))
print(outputs)