Instructions to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "gavrilstep/52199bef-5b9b-478e-8379-0b6b0b39ff71") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
4c5d4d6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:aa9230fad21eb0ea6558d277a742108be90c5b05a959b1ec84fc8e745547ace3
size 83197882
|