Instructions to use banghua/openhermes-dpo-ckpt9k5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use banghua/openhermes-dpo-ckpt9k5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "banghua/openhermes-dpo-ckpt9k5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d22483eb15a91c5210ade2cf81c14bcd268c4e8fc17fb1ef19a1f2a60a7514d
- Size of remote file:
- 21.7 kB
- SHA256:
- 34d3297c91cb02dc5bc5651ee04fcf26c836094e58aea2d90af5392c51300cb7
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