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---
license: cc-by-3.0
language:
- ko
pipeline_tag: text-generation
---
# korean-gpt-neox-125M
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [cateto](http://github.com/cateto)
- **Model type:** [gpt-neox](https://github.com/EleutherAI/gpt-neox)
- **Language(s) (NLP):** Korean
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
```python
# Import the transformers library
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("cateto/korean-gpt-neox-125M")
model = AutoModelForCausalLM.from_pretrained("cateto/korean-gpt-neox-125M")
# Get user input
user_input = "์šฐ๋ฆฌ๋Š” ์•ž์œผ๋กœ ๋”๋‚˜์€ ๋ฏธ๋ž˜๋ฅผ"
# Encode the prompt using the tokenizer
input_ids = tokenizer.encode(user_input, return_tensors="pt")
# Generate chatbot output using the model
output_ids = model.generate(
input_ids,
num_beams=4,
repetition_penalty=1.5,
no_repeat_ngram_size=3
)
# Decode chatbot output ids as text
bot_output = tokenizer.decode(output_ids.tolist()[0], skip_special_tokens=True)
# Print chatbot output
print(f"์ถœ๋ ฅ ## ", bot_output)
# ์ถœ๋ ฅ ## ์šฐ๋ฆฌ๋Š” ์•ž์œผ๋กœ ๋”๋‚˜์€ ๋ฏธ๋ž˜๋ฅผ ํ–ฅํ•ด ๋‚˜์•„๊ฐˆ ์ˆ˜ ์žˆ๋‹ค.
```