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
Ctrl+K
- codebert-base
- fourier-spectral-norm-classifier
- graphcodebert-base-lowLR-highBatchSize
- graphcodebert-best
- graphcodebert-focal
- graphcodebert-mixcode-fft
- graphcodebert-rdrop
- graphcodebert-ready-lmc
- graphcodebert-robust
- graphcodebert-swa-from-epoch-1
- graphcodebert-vanilla
- inference
- unixcoder-base
- 1.52 kB
- 2.8 kB
- 19.4 kB