Instructions to use DeepDream2045/f8a34c18-f4d4-4d3e-8297-cd5f3c10b687 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/f8a34c18-f4d4-4d3e-8297-cd5f3c10b687 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, "DeepDream2045/f8a34c18-f4d4-4d3e-8297-cd5f3c10b687") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba84e404f58e4e8767689fe2a0038fa84d70a1aae15186d3cf5cb2dfdfc060b5
- Size of remote file:
- 432 MB
- SHA256:
- cee784595b36b7f463340e6a98a1de2cd4f37340449120834fe1f090c35308f3
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