Instructions to use sting01/google-gemma-7b-1724804838 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sting01/google-gemma-7b-1724804838 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "sting01/google-gemma-7b-1724804838") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93a789107b895ec33512aaf1df686584d2e92e80bc11cabfcff10b83962cc180
- Size of remote file:
- 5.37 kB
- SHA256:
- ba4d3c15d87c65f7e8b4787f55c643c91758cac8bafbbdb73ed7a7c5b23eb3a9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.