Instructions to use daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a 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, "daniel40/8d6e9e4f-e643-4ede-b786-082adcd7c58a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4630f736d9ac196142149f241490f39884a577540a0a14509bc8f528fdfd0dfe
- Size of remote file:
- 6.78 kB
- SHA256:
- 833c8b4cb6201cb48b2bc35683403973bc834dfc0105f14eb9547120982ac469
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