Instructions to use evalstate/demo-dpo-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/demo-dpo-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evalstate/demo-dpo-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd1af0981631e319f77d80956d6eb90b80dd230584a73f6785da67e87979e91
- Size of remote file:
- 6.87 kB
- SHA256:
- 7d98d20e5dda9ebd483e8a6a2b172a2003b023d8760dc7d928fc23edcf32aed9
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