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:
- bf8eeb355fa39b78218a1188b3373ae2fc1c64b2f7d2f6d0536feb13e712ed1b
- Size of remote file:
- 5 GB
- SHA256:
- 893dfd6b647a6453beecceff61267f7ffec9a3bf059a1a700cc309c85f1eeeca
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