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:
- fe26900974c9a9925222dc27fb39a1fb0b33cedc243bc3e7dad3a894674e1ff0
- Size of remote file:
- 6.84 kB
- SHA256:
- 3e8941ede8c8f7314aefe8dc6aaa3930deeea8d8f8405506fbb87fb971891821
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