Instructions to use demohong/002177ee-0d72-4bef-b9c0-c68d06b7b76f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/002177ee-0d72-4bef-b9c0-c68d06b7b76f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "demohong/002177ee-0d72-4bef-b9c0-c68d06b7b76f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- def1a569821646e94a0612a6ccd66d71007edb8cc0310df0b8f05af50ef38f3a
- Size of remote file:
- 6.78 kB
- SHA256:
- 89a4ac437d153745582ad699ab0d5b8620ae112afafdc79af4c08e231ae8010e
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