Instructions to use banghua/openhermes-dpo-ckpt20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use banghua/openhermes-dpo-ckpt20k 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-ckpt20k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 013817b290603312923f0f14df34850d78f66db45e190f60638aa7f9822300fe
- Size of remote file:
- 436 MB
- SHA256:
- 575ce27768224ee3f157f98357046034cd78b1ebc16025b103a72efa141fdc5e
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