Instructions to use iFlytekOpenSource/Domux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iFlytekOpenSource/Domux with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="iFlytekOpenSource/Domux") 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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("iFlytekOpenSource/Domux") model = AutoModelForMultimodalLM.from_pretrained("iFlytekOpenSource/Domux") 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 Settings
- vLLM
How to use iFlytekOpenSource/Domux with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "iFlytekOpenSource/Domux" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "iFlytekOpenSource/Domux", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/iFlytekOpenSource/Domux
- SGLang
How to use iFlytekOpenSource/Domux 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 "iFlytekOpenSource/Domux" \ --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": "iFlytekOpenSource/Domux", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "iFlytekOpenSource/Domux" \ --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": "iFlytekOpenSource/Domux", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use iFlytekOpenSource/Domux with Docker Model Runner:
docker model run hf.co/iFlytekOpenSource/Domux
Are you using Domux? ๐คญ
Are you using Domux?
First of all, thank you very much for using and supporting Domux!
We highly appreciate every user's feedback.
The intention of this issue:
We'd like to establish a connection between the community and users, to listen to their voices, and to provide support when needed.
What we expect from you:
Please leave a comment with:
- Organization/Company
- Website link
- Country
- Contact info (Email, Twitter, WeChat)
- Usage scenario (How do you use Domux for smart home command parsing?)
- Usage stage (evaluating/production)
- Logo permission for domux website
- Community support needs
Sample answer:
Organization/Company: SmartHome Inc.
Website: https://smarthome.com
Country: Germany
Contact: dev@smarthome.com
Usage scenario: Use Domux to parse voice commands for our smart home hub, extracting structured slots for device control (lights, temperature, etc.).
Stage: Production
Logo: You can use our logo from our official website.
Help: Need support for additional languages and custom device types.
Thank you for being part of the Domux! ๐