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: 130 Bytes
9e32ab3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15c0d4180bda455330407ed0bb58739c7ec87b45b8bb6d957f4d11a53fa4cc59
size 14645
|