Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-prod 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 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aef4051840841c7c2051c2ea3aa83db8c134138567c21b3e845e58195a86517
- Size of remote file:
- 5.37 kB
- SHA256:
- 26711a0ae438d61fb577d20bf3c14f3354cda8f9302ba5ecb8eaf0d485171cec
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