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:
- 1afc4db5ee1821aabd7a18d04c7443ceff9c7e3efe9fe6049b0cc980c97bd7ab
- Size of remote file:
- 5.84 kB
- SHA256:
- fd447c2d3c829ce951a029be939fd0b0d41ad5502fac28bccaae84457b935a5f
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