Instructions to use vermoney/4c7887b8-58c5-4152-a44a-3da642c8ca35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/4c7887b8-58c5-4152-a44a-3da642c8ca35 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, "vermoney/4c7887b8-58c5-4152-a44a-3da642c8ca35") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76292a9259e78c2049eb62b98ccf58024c12fb063c5e37ed5e3805321d470abb
- Size of remote file:
- 6.84 kB
- SHA256:
- ad607ccf95b1d95b6f8d2158fdf9bf3038dc8be047188cd5495b447dc778c5de
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