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:
- 8427dcd312686ccfb0b05191c7ce5a8cc5e81fae52f79740a6a88600fcda0f99
- Size of remote file:
- 260 kB
- SHA256:
- 6a05609b28f5d42b7b748f0f07592545c8f1f6885b9ae8fff64baf56e86b2a18
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