Instructions to use Jenbenarye/mistral-7b-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jenbenarye/mistral-7b-dpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jenbenarye/mistral-7b-dpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d2d7342df1c284ddd84d1b75604bc2895f940a481ccc28b3699742e67772673
- Size of remote file:
- 6.99 kB
- SHA256:
- 8f5e24947d5d52096228ad3ab884404db3831d3182b30974743d8a313cd56be4
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