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

Libraries

How to use tencent/POINTS-Reader with Transformers:

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

pipe = pipeline("image-text-to-text", model="tencent/POINTS-Reader", 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 AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("tencent/POINTS-Reader", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use tencent/POINTS-Reader with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tencent/POINTS-Reader"
# 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/POINTS-Reader",
		"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/POINTS-Reader

SGLang

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

AttributeError: 'POINTSV15ChatConfig' object has no attribute 'hidden_size'

by nilecui - opened Sep 5, 2025

Discussion

nilecui

Sep 5, 2025

root@03e93b2397b2:/.cache/huggingface/POINTS-Reader# pip3 show sglang
Name: sglang
Version: 0.5.2rc1
Summary: SGLang is yet another fast serving framework for large language models and vision language models.
Home-page: https://github.com/sgl-project/sglang
Author:
Author-email:
License:
Location: /usr/local/lib/python3.12/dist-packages
Editable project location: /sgl-workspace/sglang/python
Requires: aiohttp, IPython, numpy, requests, setproctitle, tqdm
Required-by:
root@03e93b2397b2:/.cache/huggingface/POINTS-Reader# pip3 show transformers
Name: transformers
Version: 4.56.0
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: transformers@huggingface.co
License: Apache 2.0 License
Location: /usr/local/lib/python3.12/dist-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm
Required-by: compressed-tensors, xgrammar

YuanLiuuuuuu

Tencent org Sep 5, 2025

Please install transformers==4.55.2

nilecui

Sep 8, 2025

Thand you Yang, I have installed 4.55.2, but the problem still exists. I saw in github that the modified sglang has not been updated yet. https://github.com/sgl-project/sglang/pull/9651

YuanLiuuuuuu

Tencent org Sep 8, 2025

Thank you for your feedbacks. I will ask my colleague, who supported SGLang of POINTS-Reader, to identify the problem for you. We will leave comments here.

YuanLiuuuuuu changed discussion status to closed Sep 16, 2025

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