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: 290 Bytes
7aa878f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"checkpoint": "checkpoint-100",
"split": "test",
"accuracy": 0.734,
"precision": 0.6704,
"recall": 0.734,
"f1_score": 0.6916,
"confusion_matrix": [
[
707,
70
],
[
196,
27
]
]
} |