Image-Text-to-Text
Transformers
Safetensors
diffusionvl_qwenvl
text-generation
diffusion
vision-language
document-recognition
qwen2.5-vl
block-diffusion
conversational
custom_code
Instructions to use MingxuChai/PA-BDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingxuChai/PA-BDM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="MingxuChai/PA-BDM", 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("MingxuChai/PA-BDM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MingxuChai/PA-BDM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MingxuChai/PA-BDM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MingxuChai/PA-BDM", "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/MingxuChai/PA-BDM
- SGLang
How to use MingxuChai/PA-BDM 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 "MingxuChai/PA-BDM" \ --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": "MingxuChai/PA-BDM", "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 "MingxuChai/PA-BDM" \ --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": "MingxuChai/PA-BDM", "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 MingxuChai/PA-BDM with Docker Model Runner:
docker model run hf.co/MingxuChai/PA-BDM
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[](https://arxiv.org/abs/2512.15713) [](https://huggingface.co/papers/2512.15713) <a href="https://github.com/hustvl/DiffusionVL"><img src="https://img.shields.io/badge/GitHub-Repository-black?logo=github" alt="GitHub"></a> <a href="https://huggingface.co/collections/hustvl/diffusionvl"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue" alt="Hugging Face"></a>
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<h1>Prefix-Adaptive Block Diffusion for Efficient Document Recognition</h1>
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[](https://arxiv.org/abs/2512.15713) [](https://huggingface.co/papers/2512.15713) <a href="https://github.com/hustvl/DiffusionVL"><img src="https://img.shields.io/badge/GitHub-Repository-black?logo=github" alt="GitHub"></a> <a href="https://huggingface.co/collections/hustvl/diffusionvl"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue" alt="Hugging Face"></a>
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