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/optimizer.pt from paulo037/StableCode-DPO2: direct link, hf CLI and curl.
- Browser
- Download file 204 MB
-
https://huggingface.co/paulo037/StableCode-DPO2/resolve/2648e0ee17acea1d5fa560dc46bb4b97825db803/checkpoint-300/optimizer.pt
- Command line
-
hf download hf://paulo037/StableCode-DPO2@2648e0ee17acea1d5fa560dc46bb4b97825db803/checkpoint-300/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/paulo037/StableCode-DPO2/resolve/2648e0ee17acea1d5fa560dc46bb4b97825db803/checkpoint-300/optimizer.pt
204 MB
- Xet hash:
- 1fc5c936a919802be0c6c5f88d9ff52c02983c989d8cb7acc9c56672b045ecc5
- Size of remote file:
- 204 MB
- SHA256:
- 58ba38b02160f8d59e5baccb30c5d75a34d3072164fbd742f64628076fafaf1a
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