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 training_args.bin from paulo037/StableCode-DPO2: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/paulo037/StableCode-DPO2/resolve/c250f740125a59636cee698d7dc411f15a28dfb5/training_args.bin
- Command line
-
hf download hf://paulo037/StableCode-DPO2@c250f740125a59636cee698d7dc411f15a28dfb5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/paulo037/StableCode-DPO2/resolve/c250f740125a59636cee698d7dc411f15a28dfb5/training_args.bin
6.07 kB
- Xet hash:
- 1e0f8a0a85307f54ba53b3138f0d913d59b37499fef8ef03bd0bb71008c511c8
- Size of remote file:
- 6.07 kB
- SHA256:
- 0c069841a677f0a269f750d18b3e2203d493bc415b125f2ff61cf2a572088867
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