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: 134 Bytes
221c903 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2fd0e615b23c27c3ad62c6b2dc76c1d5bd80aa7bdf6a79b466ded0f58b47f0d5
size 498612824
|