Instructions to use dbaysal/code-unit-unlearning-meta_llama3_2_3b-prod_gd 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_gd 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_gd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48f97f3d19962415bbb8665f4cb6289ff58ed3546a7d0abac6779b88fd62137b
- Size of remote file:
- 5.37 kB
- SHA256:
- a795b0d811d22c3881c3ba17e7c63dbd829e7fa9dd8834c4356c6ead1c978fe8
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