lcube-base / README.md
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## How to use
```python
import transformers
model = transformers.GPT2LMHeadModel.from_pretrained("lbox/lcube-base")
tokenizer = transformers.AutoTokenizer.from_pretrained(
"lbox/lcube-base",
bos_token="[BOS]",
unk_token="[UNK]",
pad_token="[PAD]",
mask_token="[MASK]",
)
text = "ํ”ผ๊ณ ์ธ์€ ๋ถˆ์ƒ์ง€์— ์žˆ๋Š” ์ปคํ”ผ์ˆ์—์„œ, ํ”ผํ•ด์ž B์œผ๋กœ๋ถ€ํ„ฐ"
model_inputs = tokenizer(text,
max_length=1024,
padding=True,
truncation=True,
return_tensors='pt')
out = model.generate(
model_inputs["input_ids"],
max_new_tokens=150,
pad_token_id=tokenizer.pad_token_id,
use_cache=True,
repetition_penalty=1.2,
top_k=5,
top_p=0.9,
temperature=1,
num_beams=2,
)
tokenizer.batch_decode(out)
```
For more information please visit <https://github.com/lbox-kr/lbox_open>.
## Licensing Information
Copyright 2022-present LBox Co. Ltd.
Licensed under the CC BY-NC-ND 4.0