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:
- a899e52e9e656c6ea10f1235e32427879b1d2fe06421d4cdea10ed4fb74e44f5
- Size of remote file:
- 507 MB
- SHA256:
- 34af50d15f11853b606c25055c82066a2f26a4ec604312f9ebf4b8e1dde10e09
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