Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 251 Bytes
462aef7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"accuracy": 0.739,
"precision": 0.6761904325771452,
"recall": 0.739,
"f1": 0.6958969955633529,
"confusion_matrix": [
[
711,
66
],
[
195,
28
]
]
} |