Instructions to use chchen/gemma-2-9b-it-ppo-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chchen/gemma-2-9b-it-ppo-1000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "chchen/gemma-2-9b-it-ppo-1000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18fb87cec92edd2dea25010e6932e3fc3a8c7fff90a231effbad45342765cd4
- Size of remote file:
- 14.5 kB
- SHA256:
- 4c844e83e8c8ae9a487968b51b0ce830c6b7842e65a15bf7f23c5013fa227034
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