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:
- 8d3655cb5823b0a94ea947e4520af40e67b6f5375fe155d099d07b7bca55cceb
- Size of remote file:
- 21.7 kB
- SHA256:
- 9bcf53341194f948fcf9a3e26ad99832df1a48167bd687bf0a3c6c2a25771aa2
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