Instructions to use ACIDE/User-VLM-3B-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-3B-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ACIDE/User-VLM-3B-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("ACIDE/User-VLM-3B-base") model = AutoModelForImageTextToText.from_pretrained("ACIDE/User-VLM-3B-base") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ACIDE/User-VLM-3B-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ACIDE/User-VLM-3B-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ACIDE/User-VLM-3B-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ACIDE/User-VLM-3B-base
- SGLang
How to use ACIDE/User-VLM-3B-base 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 "ACIDE/User-VLM-3B-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ACIDE/User-VLM-3B-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "ACIDE/User-VLM-3B-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ACIDE/User-VLM-3B-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ACIDE/User-VLM-3B-base with Docker Model Runner:
docker model run hf.co/ACIDE/User-VLM-3B-base
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year={2025}
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## License
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This model is licensed under the **MIT License**.
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year={2025}
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}
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```
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## Acknowledgment
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The authors would like to express their sincere appreciation to the euROBIN – European ROBotics and AI Network project (Horizon Europe Grant Agreement No 101070596) for its invaluable contributions to advancing research and collaboration in robotics and artificial intelligence. The project’s vision of fostering knowledge sharing, interoperability, and human-centric robotics across Europe has provided significant inspiration and context for this work. We gratefully acknowledge the efforts of all euROBIN partners in building a unified European ecosystem for robotics research and innovation.
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## License
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This model is licensed under the **MIT License**.
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