Any-to-Any
Transformers
Safetensors
English
qwen2_5_omni
text-to-audio
multimodal
4-bit precision
gptq
Instructions to use Qwen/Qwen2.5-Omni-7B-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen2.5-Omni-7B-GPTQ-Int4 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-Omni-7B-GPTQ-Int4") model = AutoModelForMultimodalLM.from_pretrained("Qwen/Qwen2.5-Omni-7B-GPTQ-Int4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96f4fc2e1cf540f9b9d50e1bd747c422348e324e85017f127b70b36f10bba105
- Size of remote file:
- 3.98 GB
- SHA256:
- ee387a76c541ded76184b108cc36cb6ca00cf4986cb8a70a107456ced39ed8b7
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