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:
- 34fb6d5343313dbe3e0caec9b0c74bd056a39eb56c04e5a9ad6ef2771f728020
- Size of remote file:
- 5 GB
- SHA256:
- bbf7a970b073e8e97290cfdc420958a86a1d4fe435224f199296d4a3784fe17f
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