Instructions to use zhongwen8868/google-gemma-2b-1728322065 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zhongwen8868/google-gemma-2b-1728322065 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "zhongwen8868/google-gemma-2b-1728322065") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37a3906aef002cefc94a3f845c983f9bd94980e0f9b484e29fee909e74e3c75b
- Size of remote file:
- 1.85 MB
- SHA256:
- 0141de96382dd2c3611db84dc829f668eb98a852815d3bf7b1ecef8043b8650c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.