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:
- da658b7b1b3ec98f2c3cb76a572d54162dde9664be8c12d316b186ff2f26bd5f
- Size of remote file:
- 864 MB
- SHA256:
- e269c4824cb1856ab9795ac4266363840ffb56c874454105a8565ade13c7129b
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