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:
- d643f1a6df8b1bdc664bc2862389dbed715c54acb997b343de50667deda64073
- Size of remote file:
- 14.4 kB
- SHA256:
- 7cb078aceeb3e0e3c2d2ab232b440849d9e21623c4a18fdd3b64438422431f2a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.