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: 129 Bytes
1a96883 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0ca58c7fdf81d7990567985713093efa517628c10ca166dff7d9b633a6876e26
size 1465
|