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:
- 686579cd85b40083676b8da82699027a154d9cbeabb34a51f1743a9551591595
- Size of remote file:
- 5.18 kB
- SHA256:
- dd56b441ba08528261cdb5cffe6a2d490e2e83d5920061df2084ffdd782d36ec
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