Text Classification
Transformers
Safetensors
code
roberta
code-review
bug-detection
codebert
python
security
static-analysis
text-embeddings-inference
Instructions to use jayansh21/codesheriff-bug-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayansh21/codesheriff-bug-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayansh21/codesheriff-bug-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayansh21/codesheriff-bug-classifier") model = AutoModelForSequenceClassification.from_pretrained("jayansh21/codesheriff-bug-classifier") - Notebooks
- Google Colab
- Kaggle
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A fine-tuned **CodeBERT** model that classifies Python code snippets into five bug categories. Built as the classification engine inside [CodeSheriff](https://github.com/jayansh21/CodeSheriff) — an AI system that automatically reviews GitHub pull requests.
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# CodeSheriff Bug Classifier
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A fine-tuned **CodeBERT** model that classifies Python code snippets into five bug categories. Built as the classification engine inside [CodeSheriff](https://github.com/jayansh21/CodeSheriff) — an AI system that automatically reviews GitHub pull requests.
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