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:
- d4d0cb54ca87dc6a90bda660f44389fd03befce9fc66f93157aeac7edd8bbbee
- Size of remote file:
- 72.7 MB
- SHA256:
- 93d98716c8df4ec9135af31aa0ea343e4acf431fe2c83a6e507893e1ac5c42e9
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