Instructions to use dbaysal/code-unit-unlearning-meta_llama3_2_3b-ga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dbaysal/code-unit-unlearning-meta_llama3_2_3b-ga with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "dbaysal/code-unit-unlearning-meta_llama3_2_3b-ga") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d319f3f58b737279667d34a864544138db83a5b9ba83b41675bf8c3ae8a52744
- Size of remote file:
- 5.37 kB
- SHA256:
- 9f8b0b7f77195abcef8614b22aa9ce3a3e943e35b6a600592839110f400cb899
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