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 vocab.json from azherali/CodeGenDetect-Unixcoder_Lora: direct link, hf CLI and curl.
- Browser
- Download file 835 kB
-
https://huggingface.co/azherali/CodeGenDetect-Unixcoder_Lora/resolve/main/vocab.json
- Command line
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hf download hf://azherali/CodeGenDetect-Unixcoder_Lora/vocab.json
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curl -L -o vocab.json https://huggingface.co/azherali/CodeGenDetect-Unixcoder_Lora/resolve/main/vocab.json
835 kB
File too large to display, you can check the raw version instead.