Instructions to use MiG-NJU/OmniVideo-30B_Qwen3-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiG-NJU/OmniVideo-30B_Qwen3-Omni with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MiG-NJU/OmniVideo-30B_Qwen3-Omni") model = AutoModelForMultimodalLM.from_pretrained("MiG-NJU/OmniVideo-30B_Qwen3-Omni") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5fbeaa9725f10ae457ee573a946c1f3d4b1f9d51162b34469d6a6acb31b60b1
- Size of remote file:
- 5 GB
- SHA256:
- 3742cfc6d17e246a121212a12d437e152fa046ccb2387212a820955724fc4f23
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