Instructions to use GenSearcher/Gen-Searcher-SFT-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GenSearcher/Gen-Searcher-SFT-8B with Transformers:

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

pipe = pipeline("image-text-to-text", model="GenSearcher/Gen-Searcher-SFT-8B")
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 AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("GenSearcher/Gen-Searcher-SFT-8B")
model = AutoModelForImageTextToText.from_pretrained("GenSearcher/Gen-Searcher-SFT-8B")
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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use GenSearcher/Gen-Searcher-SFT-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GenSearcher/Gen-Searcher-SFT-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GenSearcher/Gen-Searcher-SFT-8B",
		"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/GenSearcher/Gen-Searcher-SFT-8B

SGLang

How to use GenSearcher/Gen-Searcher-SFT-8B 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 "GenSearcher/Gen-Searcher-SFT-8B" \
    --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": "GenSearcher/Gen-Searcher-SFT-8B",
		"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 "GenSearcher/Gen-Searcher-SFT-8B" \
        --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": "GenSearcher/Gen-Searcher-SFT-8B",
		"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 GenSearcher/Gen-Searcher-SFT-8B with Docker Model Runner:
```
docker model run hf.co/GenSearcher/Gen-Searcher-SFT-8B
```

Improve model card and add metadata

by nielsr HF Staff - opened Apr 1

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+22

-15

nielsr

Apr 1

Hi! I'm Niels from the community science team at Hugging Face.

I noticed that this repository is missing some metadata and descriptive information in the model card. I'm opening this PR to:

Add pipeline_tag: image-text-to-text to ensure the model is categorized correctly.
Add library_name: transformers to enable the automated code snippets on the Hub.
Add a license (apache-2.0) and link the model to its official paper page.
Improve the README with links to the code, project page, and visual demonstrations from the paper.

These changes will make your work more discoverable and easier to use for the AI community. Let me know if you have any feedback!

Improve model card and add metadata88d8184f

KaituoFeng changed pull request status to merged Apr 1

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