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:
- 1588929afbb31ab1c6b878dc75916759029f96fccf7b97eb15cb42d98d3a0097
- Size of remote file:
- 218 MB
- SHA256:
- ee2658b61b7ded741222e539591d3bb9c5936cf6875e7db629523b867615173f
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