Instructions to use dipudl/codeT5-DistilBERT-function-swap-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-function-swap-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-function-swap-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-function-swap-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-function-swap-bug-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7cd3892a4a893ecb266c9c1fe409075351774f398a0d56de45e6bdf5c1ac345
- Size of remote file:
- 268 MB
- SHA256:
- 5fb7fbec6b692c3c60f676b09cd511343e82e1821aa8bdac8687550ca535953f
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