Instructions to use azherali/CodeGenDetect-Unixcoder_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use azherali/CodeGenDetect-Unixcoder_Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/unixcoder-base") model = PeftModel.from_pretrained(base_model, "azherali/CodeGenDetect-Unixcoder_Lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 469af44fcaaf88cbd3f67e6596ec8415848fdb0340d1b9444baa8c2ca40bd37a
- Size of remote file:
- 4.86 kB
- SHA256:
- 7730ca680b0e0e66d7afcee3df622bfe04adad7878a440db93e56b29e0f468fc
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