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:
- c1ff9b8c688eb6a4f2671c14318ded3fffd6b5e53f144aeffbd31dda6b5c38db
- Size of remote file:
- 108 MB
- SHA256:
- 1c08abd6e3a5fa3eb695cacf7b5c31ca3c4046af718add3a6183612c232299ed
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