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-384/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-384/optimizer.pt
- Command line
-
hf download hf://paulo037/StableCode-DPO2@2648e0ee17acea1d5fa560dc46bb4b97825db803/checkpoint-384/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/paulo037/StableCode-DPO2/resolve/2648e0ee17acea1d5fa560dc46bb4b97825db803/checkpoint-384/optimizer.pt
204 MB
- Xet hash:
- bdbda544e7ee9503c763c1261c7f58e76cda7121e2538ab510ae80e8232fb2db
- Size of remote file:
- 204 MB
- SHA256:
- d2c2ede54f07f57937a861b4b68bcd7b8dcedaaf08c3f720c45a3072b30d8268
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