Instructions to use paulo037/StableCode-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulo037/StableCode-DPO with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulo037/StableCode-DPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-75/scheduler.pt from paulo037/StableCode-DPO: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/paulo037/StableCode-DPO/resolve/main/checkpoint-75/scheduler.pt
- Command line
-
hf download hf://paulo037/StableCode-DPO/checkpoint-75/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/paulo037/StableCode-DPO/resolve/main/checkpoint-75/scheduler.pt
1.06 kB
- Xet hash:
- 29a18787f893faf1e52bc4474209d34d189347a0122bcf5d6554b5b42b837718
- Size of remote file:
- 1.06 kB
- SHA256:
- bb0a16afe44852871f0e0c52232797850bcc3658dbace2c16df7ef2f5e287d99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.