Instructions to use ACIDE/User-VLM-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-3B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ACIDE/User-VLM-3B-Instruct")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/User-VLM-3B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## License
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This model is licensed under the **MIT License**.
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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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