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:
- 1600fd9e64fd77b963d23318fdc35101a35547197ab482c1cd49173c44c6d445
- Size of remote file:
- 5 GB
- SHA256:
- 199b6997b618e1f174e406020db181107a186d0dceab713f87a349eebe5f67c7
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