Instructions to use cavendishlabs/dpo_output_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cavendishlabs/dpo_output_8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cavendishlabs/dpo_output_8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a29a10eb51dba880581668152ececbf947c03360019a36a6de21bb576bdd7e6
- Size of remote file:
- 11.4 MB
- SHA256:
- bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
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