Instructions to use Pengyu965/Back2Struct-Image2SVG-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Pengyu965/Back2Struct-Image2SVG-7B with Transformers:

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

pipe = pipeline("image-text-to-text", model="Pengyu965/Back2Struct-Image2SVG-7B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Pengyu965/Back2Struct-Image2SVG-7B")
model = AutoModelForMultimodalLM.from_pretrained("Pengyu965/Back2Struct-Image2SVG-7B", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Pengyu965/Back2Struct-Image2SVG-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Pengyu965/Back2Struct-Image2SVG-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Pengyu965/Back2Struct-Image2SVG-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Pengyu965/Back2Struct-Image2SVG-7B

SGLang

How to use Pengyu965/Back2Struct-Image2SVG-7B 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 "Pengyu965/Back2Struct-Image2SVG-7B" \
    --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": "Pengyu965/Back2Struct-Image2SVG-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "Pengyu965/Back2Struct-Image2SVG-7B" \
        --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": "Pengyu965/Back2Struct-Image2SVG-7B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use Pengyu965/Back2Struct-Image2SVG-7B with Docker Model Runner:
```
docker model run hf.co/Pengyu965/Back2Struct-Image2SVG-7B
```

Pengyu965 commited on Sep 29

Commit

ec617aa

verified ·

1 Parent(s): 429133f

Expand Table 2 to all difficulty tiers

Browse files

Files changed (1) hide show

README.md +19 -0

README.md CHANGED Viewed

@@ -70,11 +70,30 @@ Fields: `id` (string), `source` (string), `token_count` (int32), `image` (embedd
 | Model | SR ↑ | DINO ↑ | LPIPS ↓ | SSIM ↑ | GPT ↑ |
 |-------|-----:|-------:|--------:|-------:|------:|
 | Qwen3-VL-30B-A3B | 18.8 | 0.1566 | 0.9067 | 0.1201 | 13.29 |
 | StarVector-8B | 31.4 | 0.2694 | 0.7936 | 0.2170 | 21.05 |
 | Qwen2.5-VL-7B (base) | 52.3 | 0.3527 | 0.7834 | 0.3276 | 27.56 |
 | Qwen2.5-VL-7B (SFT) | 42.8 | 0.3715 | 0.7403 | 0.2891 | 33.49 |
 | **Back2Struct (RL)** | **71.5** | **0.5622** | **0.6473** | **0.4966** | **51.85** |
 **On successfully compiled outputs**, the 7B model matches or beats frontier closed models:

 | Model | SR ↑ | DINO ↑ | LPIPS ↓ | SSIM ↑ | GPT ↑ |
 |-------|-----:|-------:|--------:|-------:|------:|
+| ***Overall*** | | | | | |
 | Qwen3-VL-30B-A3B | 18.8 | 0.1566 | 0.9067 | 0.1201 | 13.29 |
 | StarVector-8B | 31.4 | 0.2694 | 0.7936 | 0.2170 | 21.05 |
 | Qwen2.5-VL-7B (base) | 52.3 | 0.3527 | 0.7834 | 0.3276 | 27.56 |
 | Qwen2.5-VL-7B (SFT) | 42.8 | 0.3715 | 0.7403 | 0.2891 | 33.49 |
 | **Back2Struct (RL)** | **71.5** | **0.5622** | **0.6473** | **0.4966** | **51.85** |
+| ***Easy*** | | | | | |
+| Qwen3-VL-30B-A3B | 26.5 | 0.2231 | 0.8659 | 0.1702 | 19.51 |
+| StarVector-8B | 46.1 | 0.3923 | 0.7023 | 0.3123 | 31.90 |
+| Qwen2.5-VL-7B (base) | 69.3 | 0.4776 | 0.7123 | 0.4196 | 39.66 |
+| Qwen2.5-VL-7B (SFT) | 56.0 | 0.4866 | 0.6630 | 0.3789 | 44.58 |
+| **Back2Struct (RL)** | **84.0** | **0.6384** | **0.5956** | **0.5796** | **62.63** |
+| ***Medium*** | | | | | |
+| Qwen3-VL-30B-A3B | 19.6 | 0.1631 | 0.9004 | 0.1288 | 13.38 |
+| StarVector-8B | 37.0 | 0.3232 | 0.7533 | 0.2583 | 25.27 |
+| Qwen2.5-VL-7B (base) | 51.8 | 0.3546 | 0.7816 | 0.3306 | 26.88 |
+| Qwen2.5-VL-7B (SFT) | 45.5 | 0.3985 | 0.7161 | 0.3091 | 36.50 |
+| **Back2Struct (RL)** | **75.6** | **0.6088** | **0.6182** | **0.5275** | **55.14** |
+| ***Hard*** | | | | | |
+| Qwen3-VL-30B-A3B | 10.2 | 0.0836 | 0.9536 | 0.0614 | 7.01 |
+| StarVector-8B | 11.1 | 0.0932 | 0.9249 | 0.0808 | 6.02 |
+| Qwen2.5-VL-7B (base) | 35.7 | 0.2263 | 0.8561 | 0.2331 | 16.17 |
+| Qwen2.5-VL-7B (SFT) | 27.0 | 0.2297 | 0.8413 | 0.1795 | 19.43 |
+| **Back2Struct (RL)** | **55.0** | **0.4399** | **0.7278** | **0.3830** | **37.83** |
 **On successfully compiled outputs**, the 7B model matches or beats frontier closed models: