Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-prod_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-prod_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-prod_kl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d72bde7de3a3781570dd0b2e286a278feb6ba91a26822f30214621094ff5f31
- Size of remote file:
- 5.37 kB
- SHA256:
- 621853167f21c39c113c900e33f2569739ac32d1617da222cde452d11aa443e5
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