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:
- dffd4af1b6b2efa5bf8f0b028691053aef67ac1f4993d9ee527c767e2b2f4995
- Size of remote file:
- 72.7 MB
- SHA256:
- efda4a2bfbe2a23e7b9d27a86432d26228728e0a176ae370a79d9567fd0fab4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.