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:
- 77935fc75c1f55022da38ce2a35e1d4f659c4036b2a00b52f59e75bfbeaaab8f
- Size of remote file:
- 1.6 GB
- SHA256:
- d33733bedd858bb3157d479eaba1388693f29b83a26e650810581f33eb1d1c79
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