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:
- cb4f03e0cf99ae50ae7b9ddc032b9ceb5b3502cb571776655018f0cfb13d666c
- Size of remote file:
- 499 MB
- SHA256:
- 92bce3c4e38ffa8155e9197c360622fa05c939bec62afcbfa3bf8fd778f88527
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