Instructions to use mrm8488/codebert2codebert-finetuned-code-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert2codebert-finetuned-code-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/codebert2codebert-finetuned-code-defect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert2codebert-finetuned-code-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/codebert2codebert-finetuned-code-defect-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b5944e2336e730e3addbc2fec255f1cc6b2038439b2f2ccbf2f0af01a6d9495
- Size of remote file:
- 499 MB
- SHA256:
- 5b1a804f6c6614fc521c7bfe5843954e3082b776a920a37276ae360187e3c16a
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