Instructions to use Qwen/Qwen3-Omni-30B-A3B-Captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen3-Omni-30B-A3B-Captioner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Qwen/Qwen3-Omni-30B-A3B-Captioner") model = AutoModelForMultimodalLM.from_pretrained("Qwen/Qwen3-Omni-30B-A3B-Captioner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00011-of-00016.safetensors from Qwen/Qwen3-Omni-30B-A3B-Captioner: direct link, hf CLI and curl.
- Browser
- Download file 4 GB
-
https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner/resolve/b1b86d04701ae68e2941702d3a349af222bd91df/model-00011-of-00016.safetensors
- Command line
-
hf download hf://Qwen/Qwen3-Omni-30B-A3B-Captioner@b1b86d04701ae68e2941702d3a349af222bd91df/model-00011-of-00016.safetensors
-
curl -L -o model-00011-of-00016.safetensors https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner/resolve/b1b86d04701ae68e2941702d3a349af222bd91df/model-00011-of-00016.safetensors
4 GB
- Xet hash:
- 893909963c4f915cce6219493fee450d1f2790720fc19cd237965c19c13b5974
- Size of remote file:
- 4 GB
- SHA256:
- b86e1441bdc73585b1e958535aa58a39c96b60ffb1a4af88bdb344df8b678ac8
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