Instructions to use khu-bot/polyglot-essayist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use khu-bot/polyglot-essayist with Transformers:

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

pipe = pipeline("text-generation", model="khu-bot/polyglot-essayist")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("khu-bot/polyglot-essayist")
model = AutoModelForCausalLM.from_pretrained("khu-bot/polyglot-essayist")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use khu-bot/polyglot-essayist with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/khu-bot/polyglot-essayist

SGLang

How to use khu-bot/polyglot-essayist 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 "khu-bot/polyglot-essayist" \
    --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": "khu-bot/polyglot-essayist",
		"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 "khu-bot/polyglot-essayist" \
        --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": "khu-bot/polyglot-essayist",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use khu-bot/polyglot-essayist with Docker Model Runner:
```
docker model run hf.co/khu-bot/polyglot-essayist
```

Polyglot Essayist

polyglot-ko-1.3b 사전학습 모델을 수필 데이터를 활용하여 finetune 했습니다.

이 모델은 제목을 이용해 본문의 내용을 생성합니다. 프롬프트의 형식은 "제목: <뭔가 제목~~~>\n" 형식이어야하며 추가로 내용은 입력을 더 해줘도 되고 그냥 사용하셔도 됩니다.

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