Instructions to use azherali/CodeGenDetect-CodeBert_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use azherali/CodeGenDetect-CodeBert_Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/codebert-base") model = PeftModel.from_pretrained(base_model, "azherali/CodeGenDetect-CodeBert_Lora") - Transformers
How to use azherali/CodeGenDetect-CodeBert_Lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azherali/CodeGenDetect-CodeBert_Lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a44e00566e5e5f0a05a3a780ff656b582393956e6cbf8ed014437b0afb8504c1
- Size of remote file:
- 5.78 kB
- SHA256:
- 2431b318f5d57feb8902ee5487c8e4d2af146f7f76640e2a0d86b54b6c2eb6a3
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