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metadata
license: cc-by-3.0
language:
  - ko
pipeline_tag: text-generation

korean-gpt-neox-125M

Model Details

Model Description

Uses

Direct Use

# 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.