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:
- 47bed5cf12ee6a92ff59de9fe249e2b9e4fd23ba60dddd67da78104af5b049e3
- Size of remote file:
- 5.18 kB
- SHA256:
- 202047ebb6f795b69dde32dfd52ad26181719d522b48221cec1a5bddfedd372f
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