Text Classification
Transformers
Safetensors
roberta
code-defect-detection
c
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("lafarizo/code_defect_detection_v1")
model = AutoModelForSequenceClassification.from_pretrained("lafarizo/code_defect_detection_v1")Quick Links
Code Defect Detection v1
Code Defect Detection for C language
Model Sources
Dataset
- Repository: semeru/code-code-DefectDetection
| Results | Value |
|---|---|
| Evaluation Loss | 0.7605 |
| Accuracy | 66.76% |
| Precision | 65.64% |
| Recall | 58.01% |
| F1 Score | 61.59% |
| AUC | 73.52% |
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lafarizo/code_defect_detection_v1")