Instructions to use paulo037/StableCode-DPO2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulo037/StableCode-DPO2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulo037/StableCode-DPO2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-175/scheduler.pt from paulo037/StableCode-DPO2: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-175/scheduler.pt
- Command line
-
hf download hf://paulo037/StableCode-DPO2/checkpoint-175/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-175/scheduler.pt
1.06 kB
- Xet hash:
- 2094a8aeca4ddf809a6367d64eed99aee874127936ebabd9d00a8cabcb927cc3
- Size of remote file:
- 1.06 kB
- SHA256:
- 4c3bb0ddd129230ae39b4c7b8328464fa29d2a60f5e66f4528300c53846ae74d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.