Instructions to use dbaysal/code-unit-unlearning-qwen2_5_coder_3b-npo_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-npo_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-npo_gd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fc7450d5bb2a11e3a7d09048b5c74e0508e25dbee43cd1b19ab88fb313524eb
- Size of remote file:
- 5.37 kB
- SHA256:
- fc14f62b2db58563ebf81c7c032bb01a74fa71d397b1bb83c6feefbbf688adc4
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