Instructions to use danildushenev/ygpt8b-dpo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danildushenev/ygpt8b-dpo-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danildushenev/ygpt8b-dpo-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a21abf6789199bfb31b3ec183b540a81301301bf9518de7effac542d47c14f68
- Size of remote file:
- 2.57 MB
- SHA256:
- 1676f5bfc73d8a14b51da588b815b7c0158a0e33db9522ea1d409720bcc7dca1
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