Instructions to use thaffggg/a16e5043-b07f-43ca-952a-6327592f373b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/a16e5043-b07f-43ca-952a-6327592f373b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "thaffggg/a16e5043-b07f-43ca-952a-6327592f373b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 044af83b3adfecfba3ae9f740e278ec1066e4dcdb2d49f85bb4d157883c56912
- Size of remote file:
- 6.78 kB
- SHA256:
- 61d926d961a8f30434cee0565b4481126ec97667e8e55c83159552f8cf8129f3
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