Instructions to use ertghiu256/qwen-3-reasoning-combination-with-deepseek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ertghiu256/qwen-3-reasoning-combination-with-deepseek with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ertghiu256/qwen-3-reasoning-combination-with-deepseek", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 361a502b41bd32ef14bff43c59ea35fcefc396442771e4c41027cb554f3db690
- Size of remote file:
- 1.11 GB
- SHA256:
- e10b05e57335b01be97f6445f761c84eafa643a48d8babf0506f2de8f8ec59da
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.