Instructions to use Azimml/Qwen3-8B-trellis-3bit-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azimml/Qwen3-8B-trellis-3bit-webgpu with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azimml/Qwen3-8B-trellis-3bit-webgpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 996511792d320993e17a816b87f932c3f44c544a729f3642ef7383467890b7e1
- Size of remote file:
- 72.7 MB
- SHA256:
- 5992831fa32e2f6a5f7f10adf828162c514d5168c31de7c9cf01f305a0f6b474
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.