Instructions to use Weisly/Qwen3-8b-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Weisly/Qwen3-8b-grpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Weisly/Qwen3-8b-grpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 71e6b0ae69cd93851ce83ebad0b73b1467f5922c62676bd7c5f46cadd4937f0a
- Size of remote file:
- 1.47 kB
- SHA256:
- 2b84c864cb537e9459e8bac0d550ee4895cc13962e4effabfa14c98bb811cfbe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.