Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-ga_gd 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_gd 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_gd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cd762b9668e58f910621b5d4cd8fb133b0b639ce72c197cd30a855492c9a1e2
- Size of remote file:
- 5.37 kB
- SHA256:
- 8c4388a09666b771d644032fcd78f73f28cc19605b321d2ba67087a36faf33e9
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