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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download graphcodebert-mixcode-fft/checkpoint-300/scheduler.pt from dzungpham/graphcodebert-code-classification: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/dzungpham/graphcodebert-code-classification/resolve/d660c9981472f36590b0115c49c2ec266fccb364/graphcodebert-mixcode-fft/checkpoint-300/scheduler.pt
- Command line
-
hf download hf://dzungpham/graphcodebert-code-classification@d660c9981472f36590b0115c49c2ec266fccb364/graphcodebert-mixcode-fft/checkpoint-300/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/dzungpham/graphcodebert-code-classification/resolve/d660c9981472f36590b0115c49c2ec266fccb364/graphcodebert-mixcode-fft/checkpoint-300/scheduler.pt
1.47 kB
- Xet hash:
- fbf44bb9ed62853e58debfa9ad76fd9e9ced13617de5111a0da258923153ce6d
- Size of remote file:
- 1.47 kB
- SHA256:
- f8e119b4cd3f8598a5af51d58c37b3dbd9b0034a064c6718afecaa6a4b129a23
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