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
5e11e3c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:20c3b034723ddd19d4164d9ddced831b3a9857904fd0f88d784b134000843f0a
size 14645
|