Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_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-qwen2_5_coder_3b-prod_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-prod_gd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48a6322af79e5f3c0f4ec3773243fd2771901e7c8e51bb57bd6105aa0cf90b2a
- Size of remote file:
- 5.37 kB
- SHA256:
- fdc78efa4382d885c0e47c2cc32881cfce6d0dcd75680261ce666cf291e0cbd5
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