Instructions to use SceneWorks/scail2-dpo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SCAIL-2
How to use SceneWorks/scail2-dpo-lora with SCAIL-2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use SceneWorks/scail2-dpo-lora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir scail2-dpo-lora SceneWorks/scail2-dpo-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 7b049f286d15174f2b3006045d41bfc1048944ba5ad13cd6d7edc574a201e4c1
- Size of remote file:
- 1.23 GB
- SHA256:
- e55406c8665a45d45d64128ac82e94dca6013cf2579381b90f479ee02ccfcc44
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