Instructions to use chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f 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, "chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb57f49f8ec6efb58c224dafa4715b9e5d8fa9fe8165e11b575996a6c9d4a2fd
- Size of remote file:
- 108 MB
- SHA256:
- 1ed786598cc063b945c3f6de1ed0cc212821e8e8a1703a42f215de266b76706a
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