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 adapter_model.safetensors from paulo037/StableCode-DPO2: direct link, hf CLI and curl.
- Browser
- Download file 401 MB
-
https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://paulo037/StableCode-DPO2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/adapter_model.safetensors
401 MB
- Xet hash:
- 5327ae96f7ec343459f52f745d62e751344e7c4bf0bb6e399c9c32e54b3c8151
- Size of remote file:
- 401 MB
- SHA256:
- 70b83088ea61930e361aeb69023aea134064d325b06374fa88d049f7c1815579
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