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
90ab2a3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0aeaccc7446a00f35bec59d86fa902e66ebf161710cff77f1fbc7e23c5c62aa4
size 498612824
|