Instructions to use psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL with Transformers:

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

pipe = pipeline("image-text-to-text", model="psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL")
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)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL",
		"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/psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL

SGLang

How to use psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL 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 "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL" \
    --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": "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL",
		"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 "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL" \
        --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": "psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL",
		"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 psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL with Docker Model Runner:
```
docker model run hf.co/psp-dada/Qwen2.5-VL-7B-Instruct-SENTINEL
```

Improve model card: Add library name, key features, and usage example

by nielsr HF Staff - opened Jul 22, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+109

-5

nielsr

Jul 22, 2025

This PR significantly enhances the model card by:

Adding library_name: transformers to the metadata. This enables the "How to use" widget on the Hugging Face Hub, making the model more discoverable and user-friendly with direct code examples.
Expanding the model card's content to provide a comprehensive overview. This includes:
- An introduction summarizing the model's purpose, derived from the paper's abstract.
- Detailed "Key Features" explaining the core contributions of the SENTINEL framework.
- A practical Python code snippet for loading and inferring with the model using transformers and peft.
- Information about the associated SENTINEL Dataset.
- A section for Acknowledgement to credit related projects.
- The Citation information for proper attribution.

These improvements draw directly from the rich information available in the project's GitHub repository, ensuring the Hugging Face Hub page serves as a primary source of information for researchers and developers.

Improve model card: Add library name, key features, and usage example8adf2a9a

psp-dada

Owner Jul 26, 2025

Thanks a lot!

psp-dada changed pull request status to closed Jul 26, 2025

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment