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:
- e58d727c2835c274c70863e9f31d58b95d96f90e63d9fe4de194d71ffff242da
- Size of remote file:
- 3.99 GB
- SHA256:
- 8c62153be9bf422c339d40b020f9b71982d32c61419f58d8e113231b70c7e81b
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