Instructions to use aleegis11/7efd4588-318f-4fdc-a4f7-6ae93b64bc0b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis11/7efd4588-318f-4fdc-a4f7-6ae93b64bc0b 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, "aleegis11/7efd4588-318f-4fdc-a4f7-6ae93b64bc0b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a660ee1b65d2dd122ea638a8c5f0122eccf1d71f3fa68e8166d4afd237a01786
- Size of remote file:
- 865 MB
- SHA256:
- 10a2b58d59e59b8ab613d09dca8db813ec22df4863764c78427a8287612147df
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