Instructions to use ArchSid/RHQE_gemma-2-9b_layer_-5 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_-5 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_-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd8854faace7f70c2a31a91cbeb16cd436ba9b57ea2731171523d144d9156a6
- Size of remote file:
- 432 MB
- SHA256:
- 09234998e256e0e736d7ebbcfb8e91c03a498672d00f0acc0f0060a8407dbf9a
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