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:
- 9725084ce9806f1a5647970ea5171ee788a31091f8cbfe32dffb125b7afcbc1e
- Size of remote file:
- 1.47 kB
- SHA256:
- 6abf2ba32a596809fdef94391f735ec0ed3bab265107944a50e9f0ddbdd1e08d
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