Instructions to use dbaysal/code-unit-unlearning-meta_llama3_2_3b-prod 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-prod 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-prod") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85116f5df10e4a5f297e9b7db6b5c93a2943c565193c839aaa0bfc57a324a43a
- Size of remote file:
- 5.37 kB
- SHA256:
- 031ed6587d37bbd385dee0a8967f17b28e9c6ba39b547f825ad92a9252f2f313
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