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
- Xet hash:
- 1872c143eacb066aeae632363ad6c0e86344982fa39f99c8fda1199f26f4e156
- Size of remote file:
- 83.2 MB
- SHA256:
- aa9230fad21eb0ea6558d277a742108be90c5b05a959b1ec84fc8e745547ace3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.