Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-npo_kl 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-npo_kl 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-npo_kl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c88d05cca536a669bda59be0ed4d897a48e8c6b8a339801705de066e9d443f2e
- Size of remote file:
- 5.37 kB
- SHA256:
- 07079cacadbc90f94133f69add8dd704dfc2f46d779cb8d1e120be3027872310
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