Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_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-qwen2_5_coder_3b-ga with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-3B") model = PeftModel.from_pretrained(base_model, "dbaysal/code-unit-unlearning-qwen2_5_coder_3b-ga") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fff5eb96d07bed8445e12c11bf91b518a1900c05f712b203c452493dfc0d133a
- Size of remote file:
- 5.37 kB
- SHA256:
- 92fcffd479ad5337e170764d57cead1ae0517d11c37e4e63c50874ccfe018ed6
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