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-375/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-375/rng_state.pth
- Command line
-
hf download hf://paulo037/StableCode-DPO2/checkpoint-375/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/paulo037/StableCode-DPO2/resolve/main/checkpoint-375/rng_state.pth
14.3 kB
- Xet hash:
- 920f9a92485542c728a18f13bee7f2745cd7f3b02c870b4538f665cef89ffffc
- Size of remote file:
- 14.3 kB
- SHA256:
- fd25ad948aee2cd37f8aaf1408d306a1578fcbcf46d53129be293b96438b55ef
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