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
Download adapter_model.safetensors from azherali/CodeGenDetect-Unixcoder_Lora: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/azherali/CodeGenDetect-Unixcoder_Lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://azherali/CodeGenDetect-Unixcoder_Lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/azherali/CodeGenDetect-Unixcoder_Lora/resolve/main/adapter_model.safetensors
3.56 MB
- Xet hash:
- b51b8df8598478d28aa60f1ea0421477bbb98043a462967912b4b5cde3200bce
- Size of remote file:
- 3.56 MB
- SHA256:
- 5aca8141edb0d3ae52c87d3b6e7d49b62d88848b6c9e53b52a63e02409cc9043
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