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:
- a0fd1c08eb54d1c22868801f2a9ce32076e40da231444e6944516ecf9f3db908
- Size of remote file:
- 6.78 kB
- SHA256:
- 3b4ca6307deb7e6923fcef9e391436d892ca7349c86646b3d035928bfadc941c
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