Instructions to use nvidia/omnivinci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/omnivinci with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/omnivinci", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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# <span style="background: linear-gradient(45deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #f5576c 75%, #4facfe 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text; font-weight: bold; font-size: 1.1em;">**OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM**</span> <br />
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[](https://arxiv.org/)
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[](https://github.com/NVlabs)
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[](https://huggingface.co/nvidia/omnivinci)
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## Introduction
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# <span style="background: linear-gradient(45deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #f5576c 75%, #4facfe 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text; font-weight: bold; font-size: 1.1em;">**OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM**</span> <br />
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[](https://arxiv.org/)
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[](https://github.com/NVlabs/OmniVinci)
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[](https://huggingface.co/nvidia/omnivinci)
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[](https://nvlabs.github.io/OmniVinci)
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## Introduction
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