Instructions to use daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4 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, "daniel40/33d12fba-7a45-4140-9a5f-c8d2ce7a8ff4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d9a03d8f919f46066675f64b2b0bbaa03c90f73283fac01d2fb3b52cbd3ba6e
- Size of remote file:
- 108 MB
- SHA256:
- f606f61928fb3325a5a782fd370010762b109be88839a6f08d75dd7ff8e75535
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