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:
- 17845bff9189545493d605f2cc2cfa511d026ee41ec12cddbc482ea878edb0db
- Size of remote file:
- 14.4 kB
- SHA256:
- 54550da80481ad55690b2c9a8708cae1ecfcea113c293964446a6136b715d3ed
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