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:
- 7c2661fae8c8fe3a05dbe4b7a57bf5a47ddbd2b6327dd633bfa33ba5a933b474
- Size of remote file:
- 14.6 kB
- SHA256:
- e231312cfb6dd836b89c3a8dd38d52af114294447c5e2294714ea9206abde6af
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