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:
- b2933554d9aca48802d9e43761c71b618a7eef777b48f73f44586705f572b18a
- Size of remote file:
- 1.98 kB
- SHA256:
- e7ae580020b16556dd1a430705dd359df07f40b74863a29d02711598cf5fe41f
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