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-300/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-300/rng_state.pth
- Command line
-
hf download hf://paulo037/StableCode-DPO2/checkpoint-300/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-300/rng_state.pth
14.3 kB
- Xet hash:
- e9111e9a96afd7cb962c1c92c37e7f859b69c44df03a5a64a084d1bca777e572
- Size of remote file:
- 14.3 kB
- SHA256:
- 1b649cadd2aaa3026205ada8e9464e4a35b9d5a9dea153342cf5e3bef324e0d4
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