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
ff9dd86 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:68a71ce2adaa088d39a621c53df9b35a02f7ea78037e7f34b85f7d46bbafa926
size 14645
|