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-00012-of-00016.safetensors from Qwen/Qwen3-Omni-30B-A3B-Captioner: direct link, hf CLI and curl.
- Browser
- Download file 3.99 GB
-
https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner/resolve/main/model-00012-of-00016.safetensors
- Command line
-
hf download hf://Qwen/Qwen3-Omni-30B-A3B-Captioner/model-00012-of-00016.safetensors
-
curl -L -o model-00012-of-00016.safetensors https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner/resolve/main/model-00012-of-00016.safetensors
3.99 GB
- Xet hash:
- 42e19c037dacad8ce62b237bcf28b8a10f5329b0bf962ae7f1758b7dd40e54f9
- Size of remote file:
- 3.99 GB
- SHA256:
- 39ae0c5e0073778cc6ac487e8056d803696aa9045738e7e9339e1197b37ba0f7
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