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-00005-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-00005-of-00016.safetensors
- Command line
-
hf download hf://Qwen/Qwen3-Omni-30B-A3B-Captioner@b1b86d04701ae68e2941702d3a349af222bd91df/model-00005-of-00016.safetensors
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curl -L -o model-00005-of-00016.safetensors https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner/resolve/b1b86d04701ae68e2941702d3a349af222bd91df/model-00005-of-00016.safetensors
4 GB
- Xet hash:
- 2a83ef220c438fc8eab277a091cd8a5541069bcc956884cf07495b6f3246f168
- Size of remote file:
- 4 GB
- SHA256:
- ca7c8c1000c27533a7a1142f6249119539e39964056d67f1bbc889c56e7b7365
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