Instructions to use sukara13/gemma7bcars16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sukara13/gemma7bcars16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "sukara13/gemma7bcars16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5784ddf6d0f89870927676aae7bf05920c20f58e33e6fea44edcb3188b13530
- Size of remote file:
- 14.6 MB
- SHA256:
- b27ed84eed014cec43ce849f591fd38f6fc31457c61558f1858dcfef8b473fba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.