Instructions to use axel-darmouni/qwen2.5_7b_coder_dslearn_os_rl_unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use axel-darmouni/qwen2.5_7b_coder_dslearn_os_rl_unsloth with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("axel-darmouni/qwen2.5_7b_coder_dslearn_os_rl_unsloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- d511be736037f7ae0be937adcecdafb45a8042c87316ad8e5dc0d6f6dbb812c7
- Size of remote file:
- 11.4 MB
- SHA256:
- a11add1ccce473bcd467355ba4e231ba727eee54501528658b0d6fa18112957e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.