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:
- f374a067cccedef18745ac6c8357e40297f2250391f862432336423f715bfa3f
- Size of remote file:
- 1.47 kB
- SHA256:
- 1620ef2f1785b97a0cabdbea3b6cfd78a32feee0218de95157fc0dbbc14db4ba
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