Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-ga_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-ga_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-ga_kl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ea2fab52bf448728dd8608154c055300f8c7cc4845729cbe63ee8981b16c720
- Size of remote file:
- 5.37 kB
- SHA256:
- 62407e5c75ae4cd50cb3372b4ebd5b187b3a68a6073cd9fabefec08c3cc395f0
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