Instructions to use Qwen/Qwen2.5-Omni-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen2.5-Omni-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-Omni-7B") model = AutoModel.from_pretrained("Qwen/Qwen2.5-Omni-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8427dcd312686ccfb0b05191c7ce5a8cc5e81fae52f79740a6a88600fcda0f99
- Size of remote file:
- 260 kB
- SHA256:
- 6a05609b28f5d42b7b748f0f07592545c8f1f6885b9ae8fff64baf56e86b2a18
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.