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:
- d7b10b79bf6195a1acb14783111b3f5bd03213106f9c0711afe508913ce399e2
- Size of remote file:
- 21.7 kB
- SHA256:
- feaf8db8c36694d11d8c5ae2f94c53c602030053aab3bbe19182febea03576f6
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