Instructions to use nblinh63/4b1ca402-44cc-42b8-83b1-0df6237c5108 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh63/4b1ca402-44cc-42b8-83b1-0df6237c5108 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "nblinh63/4b1ca402-44cc-42b8-83b1-0df6237c5108") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6cb01c6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a5e0e40dd996f167b46f3754f923938c325b0b8fc6acfbbfba021f019764b84a
size 167934026
|