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
2a362eb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a8a0219e43cfa3944fd703c1f03513edd34ea0759e8cfa860a3745dd8193b74
size 498612824
|