Instructions to use naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B with Transformers:

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

pipe = pipeline("text-generation", model="naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B

SGLang

How to use naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B 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 "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B with Docker Model Runner:
```
docker model run hf.co/naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B
```

7월 9일 모델 업데이트 후 에러

#28

by kiyounglee - opened Jul 9, 2025

Discussion

kiyounglee

Jul 9, 2025

기존에 잘 되던 소스 코드에서 새로 모델을 받고 나니 해당하는 에러가 발생 하는거 같습니다.

<소스코드>
new_vlm_chat, all_images, is_video_list = preprocessor.load_images_videos(vlm_chat)

<에러 문구>
'HCXProcessor' object has no attribute 'load_images_videos'
AttributeError: 'HCXProcessor' object has no attribute 'load_images_videos'

DongHyunKim

Jul 9, 2025

•

edited Jul 9, 2025

안녕하세요,
최근 BC-break feature 들이 추가되었습니다. (https://huggingface.co/naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B/discussions/27)
최신 huggingface Processor 와 향상된 가독성, 그리고 vLLM support 를 위한 변화입니다.

기존 동작을 유지하시려면 다음과 같이 모델을 로드해 주시면 됩니다.

model_name = "naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B"
revision="v0.1.0"
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, revision=revision).to(device="cuda")
preprocessor = AutoProcessor.from_pretrained(model_name, trust_remote_code=True, revision=revision)
tokenizer = AutoTokenizer.from_pretrained(model_name, revision=revision)

최신 모델구조의 사용법은 다소 변경이 되었습니다.
transformers 버전을 up 해야 하거나, 최신 chat-template 구조를 사용하시게 된다면 main 브랜치의 모델을 사용해 주세요.
새로운 모델의 상세한 사용방법은 readme 를 참고 부탁드립니다.

감사합니다.

kiyounglee

Jul 9, 2025

네 감사합니다.

DongHyunKim changed discussion status to closed Jul 25, 2025

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