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

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
```

HyperCLOVAX-SEED-Vision-Instruct-3B / preprocessor_config.json

dong.hyun

New Processor, Model for vLLM

82f2e21 11 months ago

raw

history blame contribute delete

1.76 kB

	{
	"anyres": true,
	"auto_map": {
	"AutoImageProcessor": "image_processing_hyperclovax.HCXImageProcessor",
	"AutoProcessor": "processing_hyperclovax.HCXProcessor"
	},
	"crop_size": {
	"height": 378,
	"width": 378
	},
	"do_center_crop": true,
	"do_convert_rgb": true,
	"do_normalize": true,
	"do_rescale": true,
	"do_resize": true,
	"image_mean": [
	0.5,
	0.5,
	0.5
	],
	"image_processor_class": "AutoImageProcessor",
	"image_processor_type": "HCXImageProcessor",
	"image_std": [
	0.5,
	0.5,
	0.5
	],
	"num_queries_vis_abstractor_image": 81,
	"num_queries_vis_abstractor_video_slow": 81,
	"num_queries_vis_abstractor_video_fast": 9,
	"first_last_frames_slow_video": false,
	"pad_to_square": true,
	"patch_size": 14,
	"possible_resolutions": [
	[
	378,
	378
	],
	[
	378,
	756
	],
	[
	378,
	1134
	],
	[
	378,
	1512
	],
	[
	378,
	1890
	],
	[
	378,
	2268
	],
	[
	378,
	2646
	],
	[
	378,
	3024
	],
	[
	378,
	3402
	],
	[
	756,
	378
	],
	[
	756,
	756
	],
	[
	756,
	1134
	],
	[
	756,
	1512
	],
	[
	1134,
	378
	],
	[
	1134,
	756
	],
	[
	1134,
	1134
	],
	[
	1512,
	378
	],
	[
	1512,
	756
	],
	[
	1890,
	378
	],
	[
	2268,
	378
	],
	[
	2646,
	378
	],
	[
	3024,
	378
	],
	[
	3402,
	378
	]
	],
	"processor_class": "HCXProcessor",
	"resample": 2,
	"rescale_factor": 0.00392156862745098,
	"size": {
	"shortest_edge": 378
	},
	"unpad": true
	}