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:
- 08ac496097a4beecfb57c5ba3b046492093ee92ca387c789261980ac0382401d
- Size of remote file:
- 627 Bytes
- SHA256:
- 840d3cdf096cdd7b959c00941ecf955a1ccd3a61c3477046b2b18c0880143e70
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