Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-npo 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 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e1783f19edfb23e6c9b988eab84dc52135b0292df2d2cce1ff202ec18660ece
- Size of remote file:
- 5.37 kB
- SHA256:
- 237fb414f75f91e2fce67a1829100876baa347431bab5ea54a1d6bb6393e5638
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