Instructions to use tencent/HunyuanOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tencent/HunyuanOCR with Transformers:

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

pipe = pipeline("image-text-to-text", model="tencent/HunyuanOCR")
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 AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("tencent/HunyuanOCR", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tencent/HunyuanOCR with vLLM:

Install from pip and serve model

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

SGLang

How to use tencent/HunyuanOCR 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 "tencent/HunyuanOCR" \
    --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": "tencent/HunyuanOCR",
		"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 "tencent/HunyuanOCR" \
        --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": "tencent/HunyuanOCR",
		"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 tencent/HunyuanOCR with Docker Model Runner:
```
docker model run hf.co/tencent/HunyuanOCR
```

HunYuanVLProcessor: AttributeError '_get_num_multimodal_tokens' with vLLM (tencent/HunyuanOCR + gpu_memory_utilization)

by rachid777 - opened Nov 25, 2025

Discussion

rachid777

Nov 25, 2025

Hi everyone 👋

I’m running into an issue when trying to serve tencent/HunyuanOCR with vLLM.

When I use --gpu-memory-utilization (which normally works fine and is very helpful to control VRAM usage on smaller GPUs), I get this error:

AttributeError: 'HunYuanVLProcessor' object has no attribute '_get_num_multimodal_tokens'

It looks like the HunYuanVLProcessor used for tencent/HunyuanOCR doesn’t implement the private method _get_num_multimodal_tokens, which some multimodal tooling (vLLM in my case) expects for multimodal memory profiling / budgeting.

youkaichao

Tencent org Nov 25, 2025

How do you install vLLM? Do you install nightly as suggested in the readme?

rachid777

Nov 25, 2025

I followed "HunyuanOCR Usage Guide" in the docs and installed the nightly build as suggested

illustracer

Nov 25, 2025

I'm experiencing the same issue. When using vLLM with --gpu-memory-utilization flag, I get the same AttributeError: 'HunYuanVLProcessor' object has no attribute '_get_num_multimodal_tokens' error.
I've also installed the nightly build of vLLM as suggested in the documentation.

Is there any workaround or fix for this issue?

youkaichao

Tencent org Nov 25, 2025

make sure to use uv pip install vllm --extra-index-url https://wheels.vllm.ai/nightly , i.e. using uv . pip and uv have different behaviors here.

you can follow https://docs.vllm.ai/projects/recipes/en/latest/Tencent-Hunyuan/HunyuanOCR.html

rachid777

Nov 25, 2025

Thank you, It worked with uv pip

rachid777 changed discussion status to closed Nov 25, 2025

Boodhayana

Dec 4, 2025

i have apple silicon and uv pip is not download ing this properly...

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