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
- Xet hash:
- c642f10860b0563373637eb611027fae53903a9e83d120c9e2fc4026a3ef2961
- Size of remote file:
- 5.84 kB
- SHA256:
- efc150042e1ecc5adda0d12156f00c0a2be05d5a67f28124eb8b9f922305ebc0
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