Instructions to use glab-caltech/TWIN-InternVL3_5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use glab-caltech/TWIN-InternVL3_5-1B with Transformers:

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

pipe = pipeline("image-text-to-text", model="glab-caltech/TWIN-InternVL3_5-1B", trust_remote_code=True)
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("glab-caltech/TWIN-InternVL3_5-1B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use glab-caltech/TWIN-InternVL3_5-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "glab-caltech/TWIN-InternVL3_5-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "glab-caltech/TWIN-InternVL3_5-1B",
		"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/glab-caltech/TWIN-InternVL3_5-1B

SGLang

How to use glab-caltech/TWIN-InternVL3_5-1B 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 "glab-caltech/TWIN-InternVL3_5-1B" \
    --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": "glab-caltech/TWIN-InternVL3_5-1B",
		"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 "glab-caltech/TWIN-InternVL3_5-1B" \
        --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": "glab-caltech/TWIN-InternVL3_5-1B",
		"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 glab-caltech/TWIN-InternVL3_5-1B with Docker Model Runner:
```
docker model run hf.co/glab-caltech/TWIN-InternVL3_5-1B
```

Add pipeline tag, library name, and improve model card

by nielsr HF Staff - opened Dec 30, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+18

-10

nielsr

Dec 30, 2025

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

This pull request improves your model card by adding the pipeline_tag and library_name to the metadata. These tags help users discover your model more easily and enable automated code snippets on the Hub. I've also updated the model card with structured links to the paper, project page, and code repository to provide more context for users.

Please review and merge if this looks good to you!

Add pipeline tag, library name, and improve model cardb774c069

dmarsili changed pull request status to merged Dec 30, 2025

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