Instructions to use ArchSid/RHQE_gemma-2-9b_layer_-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ArchSid/RHQE_gemma-2-9b_layer_-1 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, "ArchSid/RHQE_gemma-2-9b_layer_-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b19ae8e89497de1f4841bd64952f151ebe4f33d9809d9af1db4dd1bdff09874f
- Size of remote file:
- 432 MB
- SHA256:
- 1200eb4e00da44d0fabc7c764efe99146996345a28072172831d25915509a8c1
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