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:
- 4df072c9632e6c2544e877b89ad9fc7e674adea1e7dea86cb81ffdff5dcf0772
- Size of remote file:
- 21.7 kB
- SHA256:
- 6fe964ab071c98fecd13b4cc37d7060325abbdd909b545a66cf3beb9cda1c83b
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