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:
- c64bf936378bbd73e5ba3120cdcf91244e821a75ac2166e47b45c4ea1c55af89
- Size of remote file:
- 21.7 kB
- SHA256:
- 0f6fda2084a2af7ecf370c6a8aa825344fa1aec4d118137a27a983dfc78aca36
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