Instructions to use paulo037/StableCode-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulo037/StableCode-DPO with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulo037/StableCode-DPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-150/training_args.bin from paulo037/StableCode-DPO: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/paulo037/StableCode-DPO/resolve/main/checkpoint-150/training_args.bin
- Command line
-
hf download hf://paulo037/StableCode-DPO/checkpoint-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/paulo037/StableCode-DPO/resolve/main/checkpoint-150/training_args.bin
6.07 kB
- Xet hash:
- fb2723fc86fffc7583a167ddaa7b052bbfd541e6c0080fa16c5b323c55ebdb5f
- Size of remote file:
- 6.07 kB
- SHA256:
- 0875d54ad5a021ce9621b2e913b94e8ad5ccf9d0e31a41995f438014f4e991db
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