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:
- 9ae2828cae2c5858bc836a5b0d68c762cf99f214bcb768746ce7723303a685b8
- Size of remote file:
- 72.7 MB
- SHA256:
- 9c804c9ba48175fdf5c9ae74b420b0e20817be779b6bc4400054a15740953c8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.