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:
- b4bc224848e5411a3a48b78bf81f895c83ac6d5404d0bac19a61b7adea306e42
- Size of remote file:
- 432 MB
- SHA256:
- c5e5f036499f8d636903d4ca132985aa678464d0acade5d6a79fcd401c9c178a
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