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
Upload training checkpoints and best model
Browse files- checkpoint-500/model.safetensors +2 -2
- checkpoint-500/optimizer.pt +2 -2
- checkpoint-500/rng_state.pth +1 -1
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.pt +1 -1
- checkpoint-500/tokenizer.json +1 -6
- checkpoint-500/trainer_state.json +269 -217
- checkpoint-500/training_args.bin +2 -2
- checkpoint-600/config.json +29 -0
- checkpoint-600/merges.txt +0 -0
- checkpoint-600/model.safetensors +3 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scaler.pt +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/special_tokens_map.json +51 -0
- checkpoint-600/tokenizer.json +0 -0
- checkpoint-600/tokenizer_config.json +58 -0
- checkpoint-600/trainer_state.json +541 -0
- checkpoint-600/training_args.bin +3 -0
- checkpoint-600/vocab.json +0 -0
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