Instructions to use azherali/CodeGenDetect-Unixcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azherali/CodeGenDetect-Unixcoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="azherali/CodeGenDetect-Unixcoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("azherali/CodeGenDetect-Unixcoder") model = AutoModelForSequenceClassification.from_pretrained("azherali/CodeGenDetect-Unixcoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf55999551beac06f3cd2a2fa18a3f9ce90bc039ed7cb366b652bfcad8d5b1d5
- Size of remote file:
- 504 MB
- SHA256:
- ff65c5785423c204912156dc4f38847e2135a87b1255b95ff217577bdf66ba5f
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