Instructions to use dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6 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, "dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 439dd4fe71205b39dc88c03f7d8e2922c254dc0cafc04df1bf36339881e2a043
- Size of remote file:
- 432 MB
- SHA256:
- 0c0c8dfbb7d79a80a722188413c5ca8f10097b87119cf1e2b698f1705c77f284
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