Instructions to use lcw99/ko-dialoGPT-korean-chit-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lcw99/ko-dialoGPT-korean-chit-chat with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="lcw99/ko-dialoGPT-korean-chit-chat")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("lcw99/ko-dialoGPT-korean-chit-chat")
model = AutoModelForCausalLM.from_pretrained("lcw99/ko-dialoGPT-korean-chit-chat", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use lcw99/ko-dialoGPT-korean-chit-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lcw99/ko-dialoGPT-korean-chit-chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lcw99/ko-dialoGPT-korean-chit-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lcw99/ko-dialoGPT-korean-chit-chat

SGLang

How to use lcw99/ko-dialoGPT-korean-chit-chat with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "lcw99/ko-dialoGPT-korean-chit-chat" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lcw99/ko-dialoGPT-korean-chit-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "lcw99/ko-dialoGPT-korean-chit-chat" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lcw99/ko-dialoGPT-korean-chit-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use lcw99/ko-dialoGPT-korean-chit-chat with Docker Model Runner:
```
docker model run hf.co/lcw99/ko-dialoGPT-korean-chit-chat
```

dialoGPT-medium-korean-chit-chat

This model is a fine-tuning of Ko-DialoGPT model using AIHUB data "Korean SNS". This model chats in Korean terms used in messenger chats such as KakaoTalk.

이 모델은 Ko-DialoGPT model을 AIHUB 데이터 "한국어 SNS"를 이용하여 fine tunning 한 것입니다. 이 모델은 일반 메신저 채팅에서 사용되는 용어로 채팅을 합니다.

Usage

Try the app in space

Framework versions

Transformers 4.22.2
TensorFlow 2.10.0
Datasets 2.5.1
Tokenizers 0.12.1

Downloads last month: 137

Safetensors

Model size

0.1B params

Tensor type

F32