pytorch tf gpt2 text-generation transformers
## 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 = "피고인은 불상지에 있는 커피숍에서, 피해자 B으로부터"
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