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:
- 669e5875affeaa5c5145323b81439313646e741160528e19a09f037e284b35a5
- Size of remote file:
- 21.7 kB
- SHA256:
- 1b107a39e25d7ad4a8497408ddd779fafbe9135b11896245877b7a4b6c0d8d30
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