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-100/rng_state.pth from paulo037/StableCode-DPO2: direct link, hf CLI and curl.
- Browser
- Download file 14.3 kB
-
https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-100/rng_state.pth
- Command line
-
hf download hf://paulo037/StableCode-DPO2/checkpoint-100/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-100/rng_state.pth
14.3 kB
- Xet hash:
- eadf0281208ab95fa9f6da73abcce99a16802f52f15d66fea263b45dbc65e27e
- Size of remote file:
- 14.3 kB
- SHA256:
- 30289c16eea29257976544ab16a11eeb72445779b8dbc67584ca4eaa8fec19d5
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