Instructions to use aiqwe/gemma-2b-it-example-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aiqwe/gemma-2b-it-example-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-1.1-2b-it") model = PeftModel.from_pretrained(base_model, "aiqwe/gemma-2b-it-example-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2bef6dd085f1fa6ad21d4baf7bb89747b38bcf50c18b4cd2496e05ef8053a67
- Size of remote file:
- 5.18 kB
- SHA256:
- 481a43b343d8cfa6f845d95536af55de959175b3efcf59099a0d4bf8aa8cf6d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.