Instructions to use vermoney/797aaeea-7edf-4b80-8290-ff488713444d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/797aaeea-7edf-4b80-8290-ff488713444d 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, "vermoney/797aaeea-7edf-4b80-8290-ff488713444d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37844d4f696bfb5b4c072db262f299ffbed8b51b75438aa4594df28e49e374b9
- Size of remote file:
- 336 MB
- SHA256:
- 651f4ea3d10bd53bebdbbc031dce2a946bcfc1a3ff3fd77f10e07498a0eb04a5
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